By A. Ravishankar Rao

ISBN-10: 1461397774

ISBN-13: 9781461397779

ISBN-10: 1461397790

ISBN-13: 9781461397793

A imperative factor in computing device imaginative and prescient is the matter of sign to image transformation. when it comes to texture, that's an immense visible cue, this challenge has hitherto bought little or no realization. This ebook provides an answer to the sign to image transformation challenge for texture. The symbolic de- scription scheme contains a singular taxonomy for textures, and relies on acceptable mathematical versions for other kinds of texture. The taxonomy classifies textures into the huge periods of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are defined through statistical mea- sures, strongly ordered textures by means of the location of primitives, and weakly ordered textures through an orientation box. Compositional textures are made from those 3 sessions of texture by utilizing convinced ideas of composition. The unifying topic of this ebook is to supply standardized symbolic descriptions that function a descriptive vocabulary for textures. The algorithms constructed within the booklet were utilized to a large choice of textured pictures bobbing up in semiconductor wafer inspection, circulation visualization and lumber processing. The taxonomy for texture can function a scheme for the id and outline of floor flaws and defects taking place in quite a lot of useful applications.

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Additional resources for A Taxonomy for Texture Description and Identification

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Furthermore, some attractive features of the new algorithm are that it requires less computation and has better signal to noise characteristics since it incorporates fewer derivative operations. We present optimum methods for the computation of the angle and coherence images, and illustrate the use of these images in different contexts [106]. The computation of the angle and coherence images can be regarded as the first stage in deriving a symbolic description of an oriented texture. CHAPTER 3 In chapter 3, we extend the work in chapter 2, and complete the process of signal to symbol transformation for oriented textures.

The original image of the orange peel defect. The problem here is to come up with a quantitative measure for the amount of wrinkle present on the wafer. In chapter 2 we give one plausible measure 1. 5. An image of resist gel defect, obtained from [32, pg. 254] (Reproduced with permission from Integrated Circuit Mask Technology by D. J. Elliott, pg. 254, ©1985 McGraw Hill). In chapter 3 we analyze this defect, and come up with a symbolic description. 5. A taxonomy for texture A taxonomy for texture Most of the research done in texture is concerned with either statistical or structural approaches.

Very few researchers have attempted to give an explicit symbolic description for repetitive textures. We present a precise technique for providing symbolic descriptions, based on the equivalence classes of the frieze groups and the wallpaper groups. The aim of this chapter is to take a critical look at the research done in the structural analysis of textures, with an eye for ultimately deriving accurate symbolic descriptors for ordered textures. Thus, we provide directions for future research in ordered textures based on existing research.

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A Taxonomy for Texture Description and Identification by A. Ravishankar Rao


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