Titlebook: Computer Analysis of Visual Textures; Fumiaki Tomita,Saburo Tsuji Book 1990 Springer Science+Business Media New York 1990 Image segmentati

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0893-3405 o Kanade at Carnegie Mellon University for his encouragement and help in writing this book; to the members of Computer Vision Section at Electrotechni­ cal Labo978-1-4612-8832-9978-1-4613-1553-7Series ISSN 0893-3405

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Introduction, a homogeneous visual pattern is called .. According to Pickett (1970),.Since any object has its own specific texture, human beings can use textures as cues to recognize many kinds of objects in the world. For example, we can identify the two textures in Figure 1.1 with straw and lawn. Even if we ca

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Image Segmentation,t textures is called .. Image segmentation is actually the first step of object recognition, because each region usually corresponds to one individual object, or each edge to the boundary between different objects. This chapter presents the algorithms for image segmentation.

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Structural Texture Analysis,ranged according to a placement rule. The analysis includes extraction of texture elements in the image, shape analysis of texture elements, and estimation of the placement rule of texture elements. Thus the structural texture analysis is complex in camparison with the statistical texture analysis,