Image segmentation involves identifying the distinct objects present in an image based on
the properties such as intensity, color, texture etc. There are many image segmentation …

Image segmentation is an important branch of image processing. Among numerous
segmentation techniques, thresholding is a very important and effective one which segments …

Thresholding is one of the critical steps in pattern recognition and has a significant effect on
the upcoming steps of image application, the important objectives of thresholding are as …

Image segmentation is an important technology for image processing. Many segmentation
methods have been brought forward for image segmentation, among these methods …

Segmentation is an essential step used for analyzing images in computer vision because
digital images must be partitioned into different regions. The objective of this study is to …

Image segmentation is one of the essential problems in computer vision and image
processing. It works by partitioning a digital image into multiple regions or sets. The …

Histogram based multilevel thresholding is one of the most aggressive methods to realize
image segmentation. We have used histogram based multilevel thresholding as a gray …

Multi-threshold image segmentation have achieved good results, but multi-threshold
searching can be very time consuming, in order to improve the efficiency of multi-threshold …

Image thresholding is a critical task of image segmentation. Selection of the optimal value of
the threshold is the most important task for image thresholding. The better the value of …

Image segmentation plays an important and basic role in image processing and pattern
recognition. Its purpose is to separate areas that do not superpose each other and to obtain …