scholarly journals Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization

2014 ◽  
Vol 6 (3) ◽  
pp. 35-49 ◽  
Author(s):  
Gobind Preet Singh ◽  
Abhay Singh
Keyword(s):  
Comparative Study ◽  
Cuckoo Search ◽  
Search Algorithms ◽  
Multimodal Optimization ◽  
Krill Herd

scholarly journals Segmentation of White Chali Arecanuts using Soft Computing Methods

2020 ◽  
Vol 9 (7) ◽  
pp. 1049-1055
Keyword(s):  
Differential Evolution ◽  
Harmony Search ◽  
Cuckoo Search ◽  
Search Algorithms ◽  
Fine Tuning ◽  
Experimental Result ◽  
Multilevel Thresholding ◽  
Low Contrast ◽  
Morphological Segmentation ◽  
Grading Systems

Performance of computer vision based grading systems is remarkably affected by the efficiency of object segmentation. The automatic segmentation of low contrast objects is a challenging task in various fruit and nut grading systems. In this paper background elimination of white chali arecanut images is carried out using morphological segmentation. The fine-tuning of edge threshold for morphological segmentation is achieved by obtaining threshold values from multilevel thresholding of original grayscale image. The best figure ground segmentation is selected by a network trained using shape parameters of the ground truth masks. The performance of morphological segmentation is evaluated for the best figure ground segmentations using precision, recall and F-scores. Comparison of segmentation performance is done by employing multilevel thresholding based on Otsu, Fuzzy c-mean, Harmony search, Differential Evolution and Cuckoo Search algorithms. The experimental result shows that, multilevel thresholding using Differential Evolution and Cuckoo Search algorithms yield best results for the fine-tuning of edge thresholds and hence the better segmentation performance of the white chali arecanuts

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