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Full-Text Articles in Physical Sciences and Mathematics
Binary Image Decomposition And Compression Using Mathematical Morphology For Object Recognition, Venu Gopal Gogusetti
Binary Image Decomposition And Compression Using Mathematical Morphology For Object Recognition, Venu Gopal Gogusetti
Theses
Image segmentation has been studied for several years. There are several segmentation techniques which are fast and effective but all of them are lacking the property of invariency to shift, rotation and sizing. In this study a new process is introduced which overcomes the shift, size and rotation variance and the compressed data can be used for object recognition.
Euclidean distance measurement is used in the compression process which is rotation invarient but is expensive in terms of time. Eucledean distance transformation is calculated using optimal double two scan algorithm with gray scale morphology, a new method developed by Dr. …
Experiments With The Gap Variation Of Interpolation Search For Semi Uniform Distributed Alphabetic Files, Jatin M. Bhavsar
Experiments With The Gap Variation Of Interpolation Search For Semi Uniform Distributed Alphabetic Files, Jatin M. Bhavsar
Theses
There are various techniques for searching a data from a data base. One of them is interpolation search. It works on uniformly distributed and sorted numerical tables and considered to be one of the fastest methods. On an average this method takes 'lg lg n'
Burton and Lewis [BL] shows the inefficiency of interpolation sarch for an alphabetic table whose distribution is not known or non-uniform. They introduce GAP variations of interpolation search to compare the inefficiency. However another approach to a non-uniform is to apply the cumulative distribution function F which transfer a non-uniform distribution to uniform one, for …