Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING   SEPTEMBER 2014 , Volume 3 , Number 10; Page(s) 16 To 19.
 
Paper: 

TRAINING SET OF DATA BIN FOR SMALL BLACK PIXELS NEIGHBORHOOD RECOGNITION OF EACH BOUNDARY

 
 
Author(s):  ABDOLLAHI ROYA*
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, MAHABAD BRANCH, ISLAMIC AZAD UNIVERSITY, MAHABAD, IRAN
 
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.

 
Keyword(s): 
 
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

ABDOLLAHI, R. (2014). TRAINING SET OF DATA BIN FOR SMALL BLACK PIXELS NEIGHBORHOOD RECOGNITION OF EACH BOUNDARY. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 3(10), 16-19. https://www.sid.ir/en/journal/ViewPaper.aspx?id=509948



Vancouver: Copy

ABDOLLAHI ROYA. TRAINING SET OF DATA BIN FOR SMALL BLACK PIXELS NEIGHBORHOOD RECOGNITION OF EACH BOUNDARY. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING. 2014 [cited 2021September23];3(10):16-19. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509948



IEEE: Copy

ABDOLLAHI, R., 2014. TRAINING SET OF DATA BIN FOR SMALL BLACK PIXELS NEIGHBORHOOD RECOGNITION OF EACH BOUNDARY. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, [online] 3(10), pp.16-19. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509948.



 
  pdf-File
Yearly Visit 50
 
 
Latest on Blog
Enter SID Blog