体数据医学图像处理This paper presented a threshold-based segmentation framework for 3D medical volumetric images, in which two classical image segmentation algorithms, OSTU and Gradient based Segmentation, were re-designed and optimized to be suitable for 3D volumetric images. In order to evaluate the...
respectively. The three regions segmented using multithreshold-based Otsu segmentation are shown in Figures3(b) and3(g), respectively. The three regions are binarised according to the labels shown in Figures
Mihatsch PW, Beissert M, Pomper MG et al (2022) Changing threshold-based segmentation has no relevant impact on semi-quantification in the context of structured reporting for PSMA-PET/CT. Cancers (Basel) 14:270 Article CAS PubMed PubMed Central Google Scholar Ren J, Huan Y, Wang H et...
Due to multi-threshold segmentation into many clusters, one of them must be the target while others are combined into backgrounds. By right of the differences between target and background, the ratio method of maximum inter-cluster variance to within-cluster variance is adopted to determine the ...
Segmentation of neurons from fluorescence calcium recordings beyond real time Article20 May 2021 Introduction The brain is made up of dense networks of interconnected neurons. Mapping the anatomy of these dense networks is one of the biggest challenges in neuroscience. Electron microscopy (EM) provides...
A novelflotation froth image segmentation based on threshold level set method is putforward in view of the problem of over-segmentation and under-segmentationwhich occurs when the existing method segmented the flotation froth images. Firstly,the proposed method adopts histogram equalization to improve ...
The invention belongs to the field of image processing, and particularly relates to a three-dimensional entropy based two-dimensional image threshold segmentation method. The method takes a two-dimensional grayscale digital image as a target, and calculates a local mean image, a local variance ...
The whale optimization algorithm (WOA) has shown promise in addressing this challenge, but issues persist, including poor stability, low efficiency, and accuracy in COVID-19 threshold image segmentation. To tackle these issues, we introduce a Latin hypercube sampling initialization-based multi-strategy...
Keywords:ClonalSelectionAlgorithm(CSA);coevolution;imagesegmentation;Otsu 摘要:传统二维Otsu算法存在计算复杂度高、实时性差等缺点。针对这一不足,受生物群体成员间协作关系的启示, 对克隆免疫算法进行改进,提出了一种基于种内协同的克隆选择算法(ClonalSelectionAlgorithmbasedonCooperation withinSpecies,CSACS),将其与克...
The traditional two-dimensional Otsu thresholding segmentation algorithms do not think about human vision characteristics and the result of segmentation can not match up to the visual perception of human eye. In order to solve this problem,an algorithm based on the two-dimensional Otsu algorithm and...