A comparative performance study of five global thresholding algorithms for image segmentation was investigated. An image database with a wide variety of histogram distribution was constructed. The histogram dis
11.3.1.1 Local (adaptive) thresholding In many applications, a global threshold cannot be found from a histogram, or a single threshold cannot give good segmentation results over an entire image. For example, when the background is not constant and the contrast of objects varies across the image...
Image segmentationThresholding segmentation methodMelasma severity assessmentMelasma image segmentation plays a fundamental role for computerized melasma severity assessment. A method of hybrid threshold optimization between a given image and its local regions is proposed and...
image thresholdingSummary: Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be computational expensive, it has the limitation to very often ...
Feeling Helpless, Dear all Community members Kindly look @ the attached image i have implemented global thresholding using imbinarize but still there is some black regions in output image (shows with red marks) plz help how should i make them whiterYah Sir, ...
Since calm water strongly reflects radar wavelengths away from the receiving antenna (specular reflection), image thresholding is a straightforward way to identify water regions by their very low backscatter intensity. However, the presence of waves or wind causes significant backscatter, which can make...
In this paper we demonstrate the superiority of the automated hybrid thresholding approach to border detection in dermoscopy images over the global thresholding method through a newly introduced evaluation metric: Performance Index. The approach incorpor
Secondly, FO-FPA is implemented for a real application of the image segmentation and its results compared with state-of-the-art multi-level thresholding algorithms. The comparisons divulge the remarkable influence of merging FO with the basic FPA in improving the quality of the solutions and the ...
Besides, an efficient framework of the multilevel thresholding image segmentation has been presented based on the Co-GoldSa method since the efficient processing of pathological images is quite important in medical diagnostics. The experimental outcomes reveal the superiority of the proposed method in ...
Ewees, A.A., Abualigah, L., Yousri, D., Sahlol, A.T., Al-Qaness, M.A., Alshathri, S., Elaziz, M.A.: Modified artificial ecosystem-based optimization for multilevel thresholding image segmentation. Mathematics 9(19), 2363 (2021) Google Scholar Nguyen, T.T.: A novel metaheuri...