By Colo.) Conference on Human and Machine Vision (1981 : Denver, Barbara Hope, Azriel Rosenfeld, Jacob Beck, National Science Foundation (U. S.)

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Example of how textural segmentation is a function of the size of the spatial region over which difference signals occur. final difference signal between two spatial regions will be assumed to be decreased if textural elements are the same with respect to a feature that ordi­ narily produces textural segmentation. As mentioned earlier, differential stimu­ lation of complex receptive fields by arrangement differences, for example, a T and an L, fail to produce strong textural segmentation. Since the slopes of the component lines of the textural elements are the same, the textural elements would tend to stimulate common slope analyzers that would decrease the differ­ ence signal.

Bringing the Us in Figure 13 closer together strengthens textural seg­ mentation in (a) through linking based on closure and in (b) through linking based on closure and good continuation. 26 Jacob Beck et al (a) (b) Figure 15. Examples in which (a) increasing the spacing between the Us and (b) increasing the spacing and misaligning the Us weakens linking based on good continua­ tion. Textural segmentation is decreased. A theory of textural segmentation 27 enee of features through the formation of textural elements.

Figure 14 shows the SAT of a rectangle. In view of this and Figure 11, we conclude that straight portions of contours should be distinguished in shape Branch point Normal points End point Figure 12. The symmetric axis transform. Maximal disks that touch the contour at more than two points are called branch points (points 5,·). 52 Michael Brady Figure 13. Examples of the symmetric axis transform. ) Criteria for representations of shape 53 Figure 14. The symmetric axis transform of a rectangle.

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