Texture analysis

Texture Analysis with GADDS. With a conventional detector, a data collection for a pole figure analysis with a powder diffractometer with a texture attachment could take 12 h or more. With an area detector, it is possible to collect enough data for several pole figures (required for an ODF analysis) ia a few minutes. 

Following previous works on physico-chemical characterisation of sunflower low-methoxyl pectins (Alarc o-Silva, 1990, Leitao at al., 1995) and technological utilisation in the manufacture of low calorie gels (Alarc o-Silva et al., 1992), this investigation was carried out to test the suitability of that pectin to the confection of grape juice reduced calorie jellies in comparison with two types of commercial pectin. Aiming at the optimisation of low-calorie jelly formula, based on consumers preferences, the jellies were submitted to a sensory panel test judgement and instrumental texture-analysis. 

The solution to access the invisible areas is readily copied from texture analysis tilt the sample by y and receive 1 data point on the meridian that corresponds to S3 = (2/A) sin y/. The result of the mapping is shown in Fig. 2.7. Thus by recording a series of images taken at different tilt angles of the fiber the blind area can be covered to a sufficient extent. Finally, the remnant blind spots may be covered by means of... 

This is the general case of texture analysis, in which the sample must be tilted and rotated in order to collect all the data required for a complete quantitative data analysis [49],... 

See also Yarn spinning technologies Texture analysis... 

The main advantage of the presented formulation is that the properties of a partition (e g., its volume, density) can be calculated if one knows the properties of a PS as a whole and the properties of another partition. This is characteristic of not only volume, but also all other morpho-independent textural parameters, for example the surface area. Thus, we will use it as a second fundamental statement of texturology the morpho-independent parameter of a partition of PS may be expressed through the corresponding parameter of a whole PS and the parameters of the other partitions. Two simple practical examples that illustrate the significance of this property for the textural analysis are formulated as Problems 4 and 5, which are expected to be solved by the reader before continuing. 

The rock samples were cut and polished into thin sections to be used on the SEM at Juniata College. The SEM was used for petrographic textural analysis. 

Textural analysis revealed that there have been multiple leach events as recorded in previous studies (Titley 1995). For instance, in the SEM images and analysis of the samples, chalcocite can be seen as a replacement of pyrite. This is evidenced by formation of Cu mineral pseudomorphs after cubic pyrite. Evidence of replacement was seen in many of the samples. 

Jarvis, M. C., Duncan, H. J. (1992). The textural analysis of cooked potato. 1. Physical principles of the separate measurement of softness and dryness. Potato Research, 35, 83-91. 

Manceau, A., Chateigner, D., and Gates, W. P. (1998). Polarised EXAFS distance least squares valence modelling (DVLS) and quantitative texture analysis approaches to the structural refinement of Garfield nontronite. Phys. Chem. Miner. 25, 347-65. 

The solid-like properties may be measured by non-destructive dynamic rheology analysis or by destructive methods using a Penetrometer, Jelly Tester, Instron instruments, or other types of texture analyzers. The latter methods are the most useful due to their simplicity and speed. Texture analysis of whippable emulsion must always be compared with the amount of air incorporated into the foam, which is known as percentage overrun and is calculated as follows ... 

Kuentz, M. and Rdhlisberger, D. (2002) Determination of the optimal amount of water in liquid- II masses for hard gelatin capsules by means of texture analysis and experimental deteigln.Pharm, 236 ... 

Denison, C., Carslon, W.D., and Ketcham, R.A. 1997. Three-dimensional quantitative textural analysis of metamorphic rocks using high-resolution computed tomography Part I. Methods and techniques. J. Metamorphic Geol. 15, 29 14. 

Kim, N.D., Amin, A., Wilson, D., Rouse, G., and Udpa, S. 1998. Ultrasound image texture analysis for characterizing intramuscular fat content of live beef cattle. Ultrason. Imaging 20, 191-205. 

Li, J, Tan, J., and Shatadal, P. 2001. Classification of tough and tender beef by image texture analysis. 

Quevedo, R., Lopez, G.C., Aguilera, J.M., and Cadoche, L. 2002. Description of food surface and microstructural changes using fractal image texture analysis. J. Food Eng. 53, 361-371. 

F. Andermann, and D.L. Arnold. 2001. Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy. Ann. Neurol. 49 770-775. 

The Shape Analyzer is a scientific instrument which is used to analyze the shape, size, and texture of objects. The item for analysis may be the object itself, its photograph, optical or electron micrograph, etc. The shape-size analysis is achieved by converting the profile to a set of shape and size descriptors which are complete, unequivocal and invariant. The texture analysis converts the full image of the object into a set of textural descriptors which are unequivocal, complete and invariant. These shape, size and texture descriptors can be used in research, in quality control, in process control and specifications. Additional details are given in Table 1 and the Appendix. 

Texture analysis is illustrated in Figure 11 which shows the gray level distribution for a polished and etched sample of tungsten carbide material. From this distribution one can obtain the mean and standard deviation of the texture. In addition, the n value indicates the sharpness of the image. 

Cancer and Normal Cells. Although a fairly simple analysis, the use of the mean and standard deviation of the morphological texture may have some significance. Figure 16 shows a normal cell and cancer cell patter of a human liver. The corresponding morphic texture values are shown in Table 5. It is clearly possible to use texture analysis to differentiate between healthy and unhealthy cells. 

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