Download e-book for kindle: Innovations in Intelligent Image Analysis by Halina Kwasnicka, Lakhmi C Jain

By Halina Kwasnicka, Lakhmi C Jain

ISBN-10: 3642179339

ISBN-13: 9783642179334

This booklet provides an advent to new and demanding study within the photos processing and research quarter. it really is was hoping that this e-book could be important for scientists and scholars desirous about many features of photo research. The e-book doesn't try to disguise the entire elements of desktop imaginative and prescient, however the chapters do current a few state-of-the-art examples.

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The method is based on the embedding of discriminant tree structures derived from the problem domain. The binary trees are built by looking for the partition that maximizes the mutual information (MI) between the data and their respective class labels. Look at the 3-class problem shown on the top of Fig. 4(a). The standard DECOC algorithm considers the whole set of classes to split it into two sub-sets of classes ℘+ and ℘− maximizing the MI criterion on a sequential forward floating search procedure (SFFS).

In Section 5, the chapter is concluded with a brief summary of the main ideas and discussions on current challenges and future steps. 1 Binary Morphological Operators Let E = Z2 , the Cartesian grid, be the image domain. Each point in E corresponds to a pixel location. The origin of E is denoted 0. Given two points x and y in E, x+y denotes the usual vector addition in E. Given a set X ⊆ E, X c denotes the complementary set with respect to E; Xz = {x + z : x ∈ X} ˇ = {−x : x ∈ X} denotes the transpose denotes the translate of X by z; and X of X.

Then, only J℘+ , J℘− , and J℘− are used. If the new sub-sets improve the classification performance, new sub-classes are formed, and the process is repeated. In the example of Fig. 4, applying the splitting criteria SC over the two sub-sets, two clusters are found for ℘+ = C1 and for ℘− = C2 . Then, the original encoding of the problem C1 vs C2 (corresponding to the second column of the matrix in the center of Fig. 4(c)) is split into two columns marked with the dashed lines in the matrix on the right.

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Innovations in Intelligent Image Analysis by Halina Kwasnicka, Lakhmi C Jain


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