Training Set of Data Bin for Small Black Pixels Neighborhood Recognition of Each Boundary

Author

Abstract

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. We
refer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.
Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply as
the soft segmentation. The band-dependent posterior probability that the hard segmentation column
value of pixel is 1, given that bin and the binary values in the neighborhood configuration of the pixel
are equal. Symbolically, each pixel of the soft segmentation column is set to the soft segmentation
column value of the pixel in a row was set to zero.

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