The Combination of Local Fuzzy Entropy and Gray Level Difference-Based Thresholding Segmentation
2012 ◽
Vol 220-223
◽
pp. 1288-1291
Keyword(s):
A novel transition region extraction and thresholding method based on both frequency and degree of gray level changes is proposed by analyzing properties of transition region. Frequent gray level based transition region extraction methods are greatly affected by noise. To eliminate the algorithm limitation, a modified descriptor taking both degree and frequency of gray level changes into account is developed. The proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The experimental results show its superiority and feasibility.
2012 ◽
Vol 217-219
◽
pp. 1964-1967
Keyword(s):
2009 ◽
Vol 35
(5)
◽
pp. 696-704
◽
2013 ◽
Vol 397-400
◽
pp. 2171-2176
◽
2013 ◽
Vol 33
(1)
◽
pp. 40-43
◽
2020 ◽
Vol 13
(1)
◽
pp. 98-105
2020 ◽
Vol 2
(1)
◽
pp. 69-78
Keyword(s):