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

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Roya Abdollahi ¹

1 -

Received: 2015-09-07 Accepted : 2015-09-07 Published : 2014-09-01

Keywords:

Abstract :

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer 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 asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnvalue of pixel is 1, given that bin and the binary values in the neighborhood configuration of the pixelare equal. Symbolically, each pixel of the soft segmentation column is set to the soft segmentationcolumn value of the pixel in a row was set to zero.

References:

[1] Sedghi T., “A Fast and Effective Model for
cyclic Analysis and its application in
classification” Arabian Journal for Science
and Engineering Vol. 38 October 2012.
[2] Sedghi T., Amirani C. M., Fakheri M.,”
Robust and Effective Framework for Image
Retrieval Scheme using Shift Invariant
Texture and Shape Features” International
Journal of Natural and Engineering Sciences
4 (1): 95-101, Vol. 3, Dec, 2010.