… In this paper, a new approach called Kapur’s entropy based crow search algorithm is …
multilevel image segmentation. Here Kapur’s entropy is used as a fitness function and the entropy …

… In this paper, Kapur’s entropy thresholding technique is utilized to determine the optimal
threshold values for image segmentation. The performance of our WOA-DE-based method is …

… maximizing objective functions such as Kapur, Otsu and Minimum Cross Entropy (MCE) to
… color space for image segmentation to deduce information from the segmented color images…

… the entropy thresholding namely the method proposed by Kapur … to ensure successful image
segmentation. Based on the … object size is about 73% for all noise levels for Kapur. For Li …

… segmentation of medical images. In this paper, we have used the Kapur entropy for image
segmentation… this work to explore the potential of this entropy for medical image segmentation. …

… Abstract—Thresholding is an important operation in image … image segmentation is the
entropy-based thresholding technique. A popular entropy-based thresholding method is the Kapur …

… in MRI image segmentation … entropy measures (Shannon, Renyi, Havrda-Charvat, Kapur
and Vajda), which in turn is computed via the co-occurrence matrix and use it for segmentation. …

… In this chapter, an alternative image segmentation image segmentation is proposed. The …
the probability of the objective function where the Kapur's function is considered as an objective …

… The entropy based methods, such as Kapur’s and Tsallis functions are chosen in this paper
to segment the image… In the field of image processing, image segmentation is widely used to …

… like Firefly have been also used for image segmentation on the basis of Tsallis and Kapur’s …
entropy based image segmentation scheme has been presented where information entropy …