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1,068 full-text articles. Page 6 of 48.

Image Search Engine Based On Combined Features Of Image Sub-Blocks, CHAITHANYA SAGAR KOTAPURI, MOHAMMAD HAYATH RIJVEE 2020 ECE Dept, QCET, Nellore, AP

Image Search Engine Based On Combined Features Of Image Sub-Blocks, Chaithanya Sagar Kotapuri, Mohammad Hayath Rijvee

International Journal of Image Processing and Vision Science

In this paper we propose a new and efficient technique to retrieve images based on sum of the values of Local Histogram and GLCM (Gray Level Co-occurrence Matrix) texture of image sub-blocks to enhance the retrieval performance. The image is divided into sub blocks of equal size. Then the color and texture features of each sub-block are computed. Most of the image retrieval techniques used Histograms for indexing. Histograms describe global intensity distribution. They are very easy to compute and are insensitive to small changes in object translations and rotations. Our main focus is on separation of the image bins ...


Image Edge Detection Based On Fpga, B.GOPI CHANDRA KUMAR, MOHAMMAD HAYATH RAJVEE 2020 ECE Dept, QCET, Nellore, AP

Image Edge Detection Based On Fpga, B.Gopi Chandra Kumar, Mohammad Hayath Rajvee

International Journal of Image Processing and Vision Science

Field Programmable Gate Array (FPGA) is an effective device to realize real- time parallel processing of vast amounts of video data because of the fine-grain reconfigurable structures. This paper presents a kind of parallel processing construction of Sobel edge detection enhancement algorithm, which can quickly get the result of one pixel in only one clock periods. The algorithm is designed with a FPGA chip called XC3S200- 5ft256, and it can process 1024×1024×8 Gray Scale Image successfully. The design can locate the edge of the gray image quickly and efficiently.


Analysis Of Mammogram For Detection Of Breast Cancer Using Wavelet Statistical Features, S.K. NOWSHAD, UMAR FAROOQ 2020 QUBA College of Engineering & Technology Venkatachalam Nellore

Analysis Of Mammogram For Detection Of Breast Cancer Using Wavelet Statistical Features, S.K. Nowshad, Umar Farooq

International Journal of Image Processing and Vision Science

Early detection of breast cancer increases the survival rate and increases the treatment options. One of the most powerful techniques for early detection of breast cancer is based on digital mammogram. A system can be developed for assisting the analysis of digital mammograms using log-Gabor wavelet statistical features. The proposed system involves three major steps called Pre-processing, Processing, and Feature extraction. In pre-processing, the digital mammogram can be de-noised using efficient decision-based algorithm. In processing stage, the suspicious Region of Interest (ROI) can be cropped and convolved with log-Gabor filter for four different orientations. Then gray level co-occurrence matrix (GLCM ...


Real-Time Video Watermarking For Copyright Protection Based On Human Perception, B. SUMANA PRIYANKA, N. SAGAR 2020 Bharat Institute of Engineering and Technlogy, Hyderabad

Real-Time Video Watermarking For Copyright Protection Based On Human Perception, B. Sumana Priyanka, N. Sagar

International Journal of Image Processing and Vision Science

There is a need for real-time copyright logo insertion in emerging applications, such as Internet protocol television (IPTV). This situation arises in IP-TV and digital TV broadcasting when video residing in a server has to be broadcast by different stations and under different broadcasting rights. Embedded systems that are involved in broadcasting need to have embedded copyright protection. Existing works are targeted towards invisible watermarking, not useful for logo insertion. MPEG-4 is the mainstream exchangeable video format in the Internet today because it has higher and flexible compression rate, lower bit rate, and higher efficiency while superior visual quality.The ...


Hybrid Binariztion Technique For Historical Manuscripts, Rajan Goyal, Amandeep Kaur 2020 D.C.S.E Department, Punjabi University, Patiala,India

Hybrid Binariztion Technique For Historical Manuscripts, Rajan Goyal, Amandeep Kaur

International Journal of Image Processing and Vision Science

This paper presents a new hybrid approach for the binarization and enhancement of Historical Manuscript. This paper deals with degradations which occur due to shadows, non-uniform illumination, low contrast and strain. We follow two distinct method of Binarization with a pre-processing procedure using a adaptive Wiener filter, a rough estimation of foreground regions and a background surface calculation by interpolating neighboring background intensities. Further logical anding of the calculated background surface with compliment of second method result, performing final thresholding and post-processing in order to improve the quality of text regions. After extensive experiments, our method demonstrated superior performance against ...


A Proposed Watermarking Technique In Transform Domain, Mansi Hasija, Alka Jindal 2020 PEC, University of Technology, Chandigarh, India

A Proposed Watermarking Technique In Transform Domain, Mansi Hasija, Alka Jindal

International Journal of Image Processing and Vision Science

Security of images is a major concern area as digital images are available all over world wide web. Many watermarking techniques have been developed to protect images from illegal manipulations. In this paper , we propose a watermarking technique for gray scale images in transform domain using DCT and DWT. The proposed technique was compared with other techniques and it has shown higher robustness against attacks.


Performance Analysis Of 802.16/E For Image Transmission, Vivek Jaysukhlal Maradia 2020 Electronics & Communication Department V.V.P.Engineering Collage Rajkot, Gujarat, India.

Performance Analysis Of 802.16/E For Image Transmission, Vivek Jaysukhlal Maradia

International Journal of Image Processing and Vision Science

This paper is designed and implement for modeling and simulation performance of image transmission based on Worldwide Interoperability for Microwave Access (Wi-MAX) using MATLAB/SIMULINK and hardware implementation via Xilinx Spartan - II based FPGA trainer model.


A Hybrid Filter With Impulse Detection For Removal Of Random Valued Impulse Noise From Colour Videos, S. Anusha, Hemanth Kumar, S. K.P. Chaitanya 2020 Chaitanya Engineering College, Vishakapatnam,(A.P).

A Hybrid Filter With Impulse Detection For Removal Of Random Valued Impulse Noise From Colour Videos, S. Anusha, Hemanth Kumar, S. K.P. Chaitanya

International Journal of Image Processing and Vision Science

This paper presents a three dimensional hybrid filter to remove random valued impulse noise from colour video sequences. The switching median technique is utilized to protect noise free isolated pixels from filtering so as to avoid blurring of frames. The restoration of noisy pixels is done by brightness information obtained from median filtering and chromaticity information is obtained from vector directional filtering. This hybrid filter is applied in three dimensional sliding window where spatial as well as temporal information about neighbourhood is available for restoration of frame under consideration. Only noise free pixels of three dimensional sliding window are used ...


A Modified Neural Network System Based On Morphological Operations For Detection Of Images With Variation In Gray Level Intensity And Facial Expressions, Pratibha Rani, Anshu Sirohi, Manish Kumar Singh 2020 Department of Electronics & Comm Engg. Hi-Tech Institute of Technology, Ghaziabad (U.P), India

A Modified Neural Network System Based On Morphological Operations For Detection Of Images With Variation In Gray Level Intensity And Facial Expressions, Pratibha Rani, Anshu Sirohi, Manish Kumar Singh

International Journal of Image Processing and Vision Science

We introduce an algorithm based on the morphological shared-weight neural network. Which extract the features and then classify them. This type of network can work effectively, even if the gray level intensity and facial expression of the images are varied. The images are processed by a morphological shared weight neural network to detect and extract the features of face images. For the detection of the edges of the image we are using sobel operator. We are using back propagation algorithm for the purpose of learning and training of the neural network system. Being nonlinear and translation-invariant, the morphological operations can ...


Qualityadaptive Sharpness Enhancement And Noise Removal Of A Colour Images Based On The Bilateral Filtering, Ms.V. Durgarchana, Mr.B. Praveen, Mr,B. Sridhar 2020 Chaitanya Engineering College, Vishakapatnam,(A.P).

Qualityadaptive Sharpness Enhancement And Noise Removal Of A Colour Images Based On The Bilateral Filtering, Ms.V. Durgarchana, Mr.B. Praveen, Mr,B. Sridhar

International Journal of Image Processing and Vision Science

In this paper, we present the Adaptive Bilateral Filter (ABF) for sharpness enhancement and noise removal of a colour images. The ABF sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. It is an approach to sharpness enhancement that is fundamentally different from the unsharp mask (USM). This new approach to slope restoration also differs significantly from previous slope restoration algorithms. Compared with an USM based sharpening method, the optimal unsharp mask (OUM), In terms of noise removal, ABF will outperform the bilateral filter and the OUM. ABF works well for both gray images ...


A Hybrid Filter For Image Enhancement, Vinod Kumara, Dr. Priyanka, Kaushal Kishore 2020 Deenbandhu Chotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India

A Hybrid Filter For Image Enhancement, Vinod Kumara, Dr. Priyanka, Kaushal Kishore

International Journal of Image Processing and Vision Science

Image filtering processes are applied on images to remove the different types of noise that are either present in the image during capturing or introduced into the image during transmission. The salt & pepper (impulse) noise is the one type of noise which is occurred during transmission of the images or due to bit errors or dead pixels in the image contents. The images are blurred due to object movement or camera displacement when we capture the image. This pepper deals with removing the impulse noise and blurredness simultaneously from the images. The hybrid filter is a combination of wiener filter ...


Illumination Insensitive Face Recognition Using Gradientfaces, Raghu. C.N 2020 Department of Electronics and communication Sri Siddhartha Institute of Technology Tumkur- 572105,Karnataka, India

Illumination Insensitive Face Recognition Using Gradientfaces, Raghu. C.N

International Journal of Image Processing and Vision Science

The performance of most existing face recognition methods is highly sensitive to illumination variation. It will be seriously degraded if the training/testing faces under variable lighting. Thus, illumination variation is one of the most significant factor affecting the performance of face recognition and has received much attention in recent years. In this paper we propose a novel method called gradientface for face recognition under varying illumination. When we rarely know the strength, direction or number of light sources. The proposed method has the ability to extract illumination insensitive measure, which is then used for face recognition. The merits of ...


Machine Learning Approach For Smile Detection In Real Time Images, Harsha Yadappanavar, Shylaja S S 2020 Department of Computer Science and Engineering P.E.S Institute of Technology Bangalore – 560085, Karnataka, INDIA

Machine Learning Approach For Smile Detection In Real Time Images, Harsha Yadappanavar, Shylaja S S

International Journal of Image Processing and Vision Science

Recognizing facial expressions of human beings by a computer is an interesting and challenging problem. A system that performs the operation of face detection and facial feature extraction accurately and in real time would form a big step in achieving a humanlike interaction between man and machine. In this paper, we propose a method for detecting Smile in real time Images by machine learning approach. Machine learning method involves training a classifier and using it in real time images to determine smile. Our implemented approach has been tested on several Images from different databases and the achieved results were found ...


A Novel Approach For Face Recognition Using Local Binary Pattern, Sonal R. Ahirrao, D. S. Bormane 2020 Department of E&TC JSPM’s RSCOE, Tathawade, Pune, India

A Novel Approach For Face Recognition Using Local Binary Pattern, Sonal R. Ahirrao, D. S. Bormane

International Journal of Image Processing and Vision Science

This paper presents Local Binary pattern (LBP) as an approach for face recognition with the use of some global features also. Face recognition has received quite a lot of attention from researchers in biometrics, pattern recognition, and computer vision communities. The idea behind using the LBP features is that the face images can be seen as composition of micro-patterns which are invariant with respect to monotonic grey scale transformations and robust to factors like ageing. Combining these micro-patterns, a global description of the face image is obtained. Efficiency and the simplicity of the proposed method allows for very fast feature ...


Similarity Measures For Automatic Defect Detection On Patterned Textures, V. Asha, P. Nagabhushan, N. U. Bhajantri 2020 Department of Master of Computer Applications New Horizon College of Engineering Bangalore, Karnataka, INDIA

Similarity Measures For Automatic Defect Detection On Patterned Textures, V. Asha, P. Nagabhushan, N. U. Bhajantri

International Journal of Image Processing and Vision Science

Similarity measures are widely used in various applications such as information retrieval, image and object recognition, text retrieval, and web data search. In this paper, we propose similarity-based methods for defect detection on patterned textures using five different similarity measures, viz., Normalized Histogram Intersection Coefficient, Bhattacharyya Coefficient, Pearson Product-moment Correlation Coefficient, Jaccard Coefficient and Cosine-angle Coefficient. Periodic blocks are extracted from each input defective image and similarity matrix is obtained based on the similarity coefficient of histogram of each periodic block with respect to itself and other all periodic blocks. Each similarity matrix is transformed into dissimilarity matrix containing true-distance ...


Handwritten Kannada Vowels And English Character Recognition System, B. V. Dhandra, Gururaj Mukarambi, MALLIKARJUN. HANGARGE 2020 Department of P.G.Studies and Research in Computer Science, Gulbarga University, Gulbarga, Karnataka

Handwritten Kannada Vowels And English Character Recognition System, B. V. Dhandra, Gururaj Mukarambi, Mallikarjun. Hangarge

International Journal of Image Processing and Vision Science

In this paper, a zone based features are extracted from handwritten Kannada Vowels and English uppercase Character images for their recognition. A Total of 4,000 handwritten Kannada and English sample images are collected for classifications. The collected images are normalized into 32 x 32 dimensions. Then the normalized images are divided into 64 zones and their pixel densities are calculated, generating a total of 64 features. These 64 features are submitted to KNN and SVM classifiers with 2 fold cross validation for recognition of the said characters. The proposed algorithm works for individual Kannada vowels, English uppercase alphabets and ...


Cbir System Using Color Histogram And Wavelet Transform For Blood Cells Images, C Rubina, Mr.S. Dasu 2020 Jawaharlal Nehru Technological University, Anantapur

Cbir System Using Color Histogram And Wavelet Transform For Blood Cells Images, C Rubina, Mr.S. Dasu

International Journal of Image Processing and Vision Science

The research in Content-based image retrieval is developing rapidly. It benefits many other fields, in particular the medical field as the need of having a better way of managing andretrieving digital images has increased.The aim of the thesis is to investigate performance of descriptors of blood cell image retrieval. In this process traditional wavelet based and global color histogram is investigated. The prototype system allows user to search by providing a query image and selecting one of four implemented methods. Research goal is enhancing current content-based image retrieval techniques. Results were obtained by experimenting to this proposed method is ...


Singular Value Decomposition Based Image Coding For Achieving Additional Compression To Jpeg Images, Rehna. V. J, Jeyakumar. M. K 2020 Department of Electronics & Communication Engineering, Noorul Islam Center for Higher Education Kumaracoil, India

Singular Value Decomposition Based Image Coding For Achieving Additional Compression To Jpeg Images, Rehna. V. J, Jeyakumar. M. K

International Journal of Image Processing and Vision Science

Computer technology these days is most focused on storage space and speed. Considerable advancements in this direction can be achieved through the usage of digital image compression techniques. In this paper we present a well studied singular value decomposition based JPEG image compression technique. Singular Value Decomposition is a way of factorizing matrices into a series of linear approximations that expose the underlying structure of the matrix. SVD is extraordinarily useful and has many applications such as data analysis, signal processing, pattern recognition, objects detection and weather prediction. An attempt is made to implement this method of factorization to perform ...


Editorial, Srikanta Patnaik 2020 Interscience Research Network

Editorial, Srikanta Patnaik

International Journal of Image Processing and Vision Science

No abstract provided.


Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin 2020 CUNY Bernard M Baruch College

Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.


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