Image segmentation is the most critical functions in image analysis and processing.
Fundamentally segmentation results affect all the subsequent processes of image analysis …

Segmentation is a method of partitioning an image or picture into different regions which has
same attributes like Texture, intensity, gray level etc with the motive to yield object of interest …

Breast cancer is one of the most common forms of cancer for women. Accuracy rate of breast
cancer in mammograms depend on the segmentation of images. Mammography is …

segmentation is a low level operation concerned with partitioning of images by determining
similarity or discontinuity, or equivalently, by finding edges or boundaries'. image …

基于互补空间信息的多目标进化聚类图像分割Multi-objective Evolutionary Clustering with
Complementary Spatial Page 1 第37 卷第3 期 电子与信息学报 Vol.37 No.3 2015 年3 月 …

Edge is an abrupt change that occurs in an image. Edge detection is one of the most
prevalent problems in image processing. Edge Detection is the approach used most …

When applied to image segmentation, most existing multi-objective evolutionary clustering
algorithms usually consider the information at the pixel level. Sometimes ignoring the region …

Controlling particle swarm optimization is typically an unintuitive task, involving a process of
adjusting low-level parameters of the system that often do not have obvious correlations with …

Identification of brain abnormalities from medical images is critical, complicated and time
consuming task for a radiologist. Computer Aided Diagnostic (CAD) systems is the only …

Segmentation is a best method to divide the required region from the medical images. This
research is based on segmentation of medical images (MRI, CT scans) based on the …