Digital Commons Network^™

Present Developments In Image Analysis, Peter Smart, Xiaoling Leng

Scanning Microscopy

The paper discusses novel methods of analysing oriented textures, explains some of the problems which had to be overcome to make these methods work, and indicates where future developments might be expected. This has required improvements in the methods of intensity gradient analysis, the development of large filter methods for mapping features defined in terms of their texture, and the introduction of ideas from the theory of regionalised variables.

The Effect Of Varying Environmental Conditions On Phytolith Morphometries In Two Species Of Grass (Bouteloua Curtipendula And Panicum Virgatum), T. B. Ball, J. D. Brotherson

Scanning Microscopy

Solid deposits of SiO₂ (phytoliths) accumulate in many plants in specific intracellular and extracellular locations. Phytoliths have morphological characteristics unique to some taxa and therefore have taxonomic significance. Phytoliths persist and maintain their morphological integrity long after a plant has died, thus becoming a microfossil of the plant that produced them. Development of phytolith sytematics for microfossil phytoliths has traditionally followed a typological approach based on simple verbal descriptions of shape. A new method for use in phytolith sytematics is the morphometric approach which employs computer-based Image Analysis Systems to make quantified measurements of morphological parameters (size, shape, texture, …

Quantitative Imaging Ion Microscopy: A Short Review, G. A. Valaskovic, G. H. Morrison

Scanning Microscopy

A short review of recent efforts being made in the quantification of images in ion microscopy is given. Special aspects of instrumentation, detection and acquisition, which are unique to direct imaging secondary ion mass spectrometry, are discussed in relation to the successful application of traditional empirical quantification schemes. Application of such quantification schemes requires proper sample preparation, standardization, analysis, and quite often, special techniques in image processing and the correlation of ion microscopy with other microscopies. Quantification within this technique is a difficult goal which can only be realized if the analyst pays strict attention to every step of the …

Relating Spectral Observations Of The Agricultural Landscape To Crop Yield, Craig L. Wiegand, Arthur J. Richardson

Food Structure

Remote sensing and microscopy share several common concerns including wavelength and sensor selection, signal processing, and image analysis. For crop yield assessments, multispectral observations are acquired photographically, videographically, or with opticalmechanical scanners from aircraft and spacecraft. Sensors are chosen at wavelengths of high atmospheric transmission and maximum contrast between the soil background and the vegetation growing out of it. Vegetation indices have been developed that maximize the information about the photosynthetic size of the vegetation in the landscape and, hence, about crop stresses and yield . Three such indices that reduce the multispectral observations to a single numerical index are …

Some Applications Of Image Analysis To Materials Science, François Grillon

Scanning Microscopy

We have presented four applications of Image Analysis to material science. The first one is on a yarn composite SiC where we want to know the relative proportion of matrix, fibers, porosity and the size of the fibers. The results are used to estimate mechanical properties of the composite.

The second one is to measure the residual porosity after a laser shock on powder metallurgy steel. The knowledge of the depth of the affected zone is necessary to optimise the laser treatment.

The third one uses Fourier transformation to analyse plastic deformation on grains. Values are obtained from Fourier transform …

Processing Multi-Spectral Scanning Electron Microscopy Images For Quantitative Microfabric Analysis, N. K. Tovey, D. L. Dent, W. M. Corbett, D. H. Krinsley

Scanning Microscopy

Multi-spectral image analysis is a powerful method to characterise quantitatively the mineralogy and microfabric of soils, sediments, and other particulate materials. Backscattered scanning electron microscope (SEM) images of polished, resin-impregnated samples are grouped with the corresponding X-ray elemental maps using classification methods commonly used in remote sensing. However, the resulting mineral-segmented images require processing to render them suitable for quantification. In the past, this has been done subjectively and interactively, but the new objective methods described in this paper largely eliminate this subjectivity. An intensity gradient magnitude image of the original backscattered electron image is used as the basis of …

Morphological Filtering And Granulometric Analysis On Scanning Electron Micrographs: Applications In Materials Science, Murielle Prod'homme, Michel Coster, Liliane Chermant, Jean-Louis Chermant

Scanning Microscopy

For many applications, scanning electron microscopy (SEM) images reflect the granular texture of analysed objects. So it is important to characterise the morphology of this texture and also to filter these images. Because the size of the texture is the main criterion to be studied, we have focused our paper on granulometric analysis.

We present basic parameters, morphological filtering and granulometry for Rⁿ•R functions and their properties with local knowledge and anamorphosis.

Some applications in the domain of materials science illustrate these methods and present their suitable possibilities.

Image Analysis To Determine Intramuscular Fat In Muscle, T. Ishii, R. G. Cassens, K. K. Scheller, S. C. Arp, D. M. Schaefer

Food Structure

The area of intramuscular fat in Holstein steer longissimus was determined using an image analyzing system. Slaughter weights of 500, 636 and 773 kg differed (p < 0.05) for intramuscular fat area, marbling score, and ether extractable lipid . Repeated measurements of intramuscular fat area in a given section showed high accuracy . However, comparing two sections from the same sample, there was often a large difference in fat content between the sections. Fat content determined by the imaging system was correlated significantl y with marbling score (r = 0.49) and ether extractable lipid (r = 0.34). Sampling is critical, and in order to obtain a high correlation several samples would be required from each muscle.

Characterization Of The Pore Structure Of Starch Based Food Materials, Z. Hicsasmaz, J. T. Clayton

Food Structure

Macroscopic pore structure parameters (bulk density, true density and porosity) and microscopic pore structure parameters (percentage closed pore volume and pore size distribution) for a highly expanded type (Wonder White Sandwich Bread) and a relatively compact type (Chessmen Butter Cookies) starch based food material were determined and their pore structures were compared. Bulk density determined by solid displacement and true density determined by pycnometry yielded porosity measurement s o f 0.9 for bread and 0.6 for cookies. Percentage closed pore volume calculated by comparing the true density of porous samples of bread and cookies with the true density of !heir …