### Image Processing: Dealing With Texture

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This is well illustrated through color-induced texture analysis, which is only briefly touched throughout the book, from time to time. Moreover, for various applications, still only gray scale images are processed. Nevertheless, if anything, I missed a more in depth discussion of this aspect of texture analysis. Much more can be said on this handbook.

However, this would go beyond the scope of a review such as this. Therefore, let us draw some final conclusions:. Findings from other fields e. Although not stated as such, roughly half of the handbook consists of reprints of papers. The other half of the chapters, are in a format one expects with a handbook. This is indisputably, a downside of the book. Despite the critical notes made, this handbook is of value. Especially for those who want to get introduced to the topic of texture. For experts, it provides a nice overview of various aspects of texture.

However, possibly most important: there are few alternatives for this handbook.

## Image processing : dealing with texture - Ghent University Library

Hence, the book fills a hole in the market. In a nutshell, we can conclude that the handbook satisfies the editors' claim p. But more than anything else, one thing again becomes clear.

Regrettably, as is frequently stated in this handbook, we still have to conclude: "Texture is not fully understood Petrou, M. Image Processing: Dealing With Texture.

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ISBN: Pietikainen, M. Texture Analysis in Machine Vision. Wyszecki, G. Color science: Concepts and methods, quantitative data and formulae 2 nd edition. Permissions Request permission to reuse content from this site.

## Image processing - dealing with texture

Box 2. How can we relate the individual parameters to the aggregate parameters of the 2D Boolean model? Is there any way to lose details smaller than a certain size but leave the size of larger details unaffected? How do we do morphological operations if the structuring element is not symmetric about its centre? Since the structuring element looks like a small image, can we exchange the roles of object and structuring element?

Can we use different structuring elements for the erosion and the dilation parts of the opening and closing operators? Can we apply morphological operators to the white pixels of an image instead of applying them to the black pixels? Are any of the methods appropriate for classifying binary textures useful for the analysis of grey textures?

Is there any relationship between the binary planes produced by thresholding and the bit planes? What is the relationship between the morphological operations applied to an image and those applied to its complement? Can we extract in one go the details of a signal, peaks or valleys, smaller than a certain size?

Box 3. Prove that the range of values of H for a fractional Brownian motion is 0 , 1. Can we apply the method discussed in the previous section to create images with grey levels? What is the relationship between maximum likelihood estimation and Bayesian estimation? How can we apply maximum likelihood estimation to estimate the parameters of a Markov random field? How do we know which parameter values to try when we apply MLE to estimate the Markov parameters?

Prove the equivalence of Markov random fields and Gibbs distributions Hammersleyâ€”Clifford theorem. How can we create an image compatible with a Gibbs model if we are not interested in fixing the histogram of the image? How does the temperature parameter of the Gibbs distribution determine how distinguishable one configuration is from another?

Is it possible to compute from the image phase a function the value of which changes only due to genuine image changes? Is it possible to have a window with sharp edges in one domain which has minimal side ripples in the other domain? Box 4. Of all the band-limited sequences one can define, which sequence has the maximum energy concentration between a given set of indices? Why is the continuous wavelet transform invertible and the discrete wavelet transform non-invertible? Why is the creation of a Laplacian pyramid associated with the application of a Gaussian function at different scales, and the subtraction of the results?

Why may the second derivative of a Gaussian function be used as a filter to estimate the second derivative of a signal? How can we extract the coarse resolution content of a signal from its content at a finer resolution?

How can we visualise the histogram of more than one feature in order to decide whether they constitute a good feature set? Is it possible that the histogram of distances does not pick up the presence of clusters, even though clusters are present? Can we use convolution to compute the coefficients of the expansion of a sub-image in terms of a set of elementary images?

Why does the use of the pseudo-Wigner distribution require signals which have been sampled at twice their Nyquist frequency? Undetected location. NO YES. Image Processing: Dealing with Texture. Selected type: Hardcover. Added to Your Shopping Cart. View on Wiley Online Library.

This is a dummy description. Self-contained text covering practical image processing methods and theory for image texture analysis. Table of contents Preface. What is texture? Why are we interested in texture?

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How do we cope with texture when texture is a nuisance? How does texture give us information about the material of the imaged object? Are there non-optical images? What is the meaning of texture in non-optical images? What is the albedo of a surface? Can a surface with variable albedo appear non-textured? Can a rough surface of uniform albedo appear non-textured? What are the problems of texture which image processing is trying to solve? What are the limitations of image processing in trying to solve the above problems? How may the limitations of image processing be overcome for recognising textures?

What is this book about? Box 1. An algorithm for the isolation of textured regions. Why are we interested in binary textures?

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What is this chapter about? Are there any generic tools appropriate for all types of texture? Can we at least distinguish classes of texture? Which are the texture classes? Which tools are appropriate for each type of texture?