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. Author manuscript; available in PMC: 2019 Jul 9.
Published in final edited form as: IEEE Access. 2018 Apr 10;6:28594–28610. doi: 10.1109/ACCESS.2018.2825352

TABLE 6.

Depictions of two multi-view real-image-segmentation scenes.

Data scene View View depiction Dimension Data size
Brodatz texture-image segmentation View 1 A filter bank with 5 orientations and 2 frequencies starting from 0.2 was created. Then, 10 dimensional features were extracted from each pixel in this image by applying the filter bank. 10 10,000
View 2 A filter bank with 5 orientations and 3 frequencies starting from 0.3 was created. Then, 15 dimensional features were extracted from each pixel of the image by applying the filter bank. 15
View 3 A filter bank with 6 orientations and 5 frequencies starting from 0.4 was created. Then, 30 dimensional features were extracted from each pixel of the image by applying the filter bank. 30
Berke-296059 image segmentation View R The features of R channel of all pixels in Berke-296059. 1 6,600
View G The features of G channel of all pixels in Berke-296059.
View B The features of B channel of all pixels in Berke-296059.