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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Additional resources for Human and Machine Vision
In Figure 15b, the Us have been vertically jittered so that the rows as well as the columns are not aligned. In Figures 16a and 16b, the Us are approximately two and a half times closer vertically than horizontally. This causes strong vertical linking and textural segmentation does not occur. Linking processes can change the sali- Jacob Beck et al. 24 (a) (b) Figure 13. Examples in which (a) textural segmentation does not occur though interfigural dipole statistics differ, and (b) textural segmentation is facilitated by linking based on the coUinearity of the base lines of the Us.
Model for Textural Segmentation The hypothesis proposed is that textural segmentation is a result of (a) local stimulus differences that differentially stimulate receptive fields, and (b) linking operations that form textural elements. Compared to Julesz's original hypothesis that textural segmentation does not occur for textures that have the same first- and second-order statistics, this hypothesis is admittedly imprecise. First, an incomplete list of features is proposed in place of the precisely defined concepts of first- and second-order statistics.
The slope difference signal varies directly with the number of slope analyzers that are stimulated by textural elements in one region and not the other and inversely with the number of slope analyzers that are stimulated in common. In a sense, similarity can be regarded as noise which reduces the detectability of the difference signal. , slope and brightness, will be assumed to summate and strengthen textural segmentation. Beck (1967) found that textural segmentation was increased by increasing the brightness difference between background and disparate figures (the displays were like those in Figure 6).