TY - GEN
T1 - Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm
AU - Pare, Shreya
AU - Prasad, Mukesh
AU - Puthal, Deepak
AU - Gupta, Deepak
AU - Malik, Anand
AU - Saxena, Amit
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/11
Y1 - 2021/7/11
N2 - To handle the fuzziness and spatial uncertainties among pixels entailed in color images, this paper proposes a novel fuzzy entropy function for multi-threshold image segmentation based on the energy curve concept and minimum fuzzy entropy criterion. The proposed energy curve based new fuzzy entropy function (ECFE) considers intensity distribution and spatial contextual information among the pixels. To improve efficiency and threshold selection process of the method, cuckoo search algorithm is employed. For comparison, backtracking search algorithm, and Lévy flight based firefly algorithm included. Comparison with recent color image multilevel segmentation techniques presented to test the effectiveness of the proposed algorithm. The performance of the proposed technique is evaluated using different satellite and natural color images. Quantitative and qualitative results demonstrate that the proposed algorithm is highly accurate, robust, and efficient for color image multilevel segmentation.
AB - To handle the fuzziness and spatial uncertainties among pixels entailed in color images, this paper proposes a novel fuzzy entropy function for multi-threshold image segmentation based on the energy curve concept and minimum fuzzy entropy criterion. The proposed energy curve based new fuzzy entropy function (ECFE) considers intensity distribution and spatial contextual information among the pixels. To improve efficiency and threshold selection process of the method, cuckoo search algorithm is employed. For comparison, backtracking search algorithm, and Lévy flight based firefly algorithm included. Comparison with recent color image multilevel segmentation techniques presented to test the effectiveness of the proposed algorithm. The performance of the proposed technique is evaluated using different satellite and natural color images. Quantitative and qualitative results demonstrate that the proposed algorithm is highly accurate, robust, and efficient for color image multilevel segmentation.
KW - Cuckoo search algorithm
KW - Energy curve
KW - minimum fuzzy entropy
KW - Multi-level thresholding
KW - Optimization algorithms
UR - http://www.scopus.com/inward/record.url?scp=85114706595&partnerID=8YFLogxK
U2 - 10.1109/FUZZ45933.2021.9494443
DO - 10.1109/FUZZ45933.2021.9494443
M3 - Conference contribution
AN - SCOPUS:85114706595
T3 - IEEE International Conference on Fuzzy Systems
BT - IEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021
Y2 - 11 July 2021 through 14 July 2021
ER -