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 …

Threshold extraction is the fundamental step in multi-threshold image segmentation. This
paper has introduced particle swarm optimization algorithm (PSO) for threshold extraction …

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 …

In image segmentation, threshold segmentation is becoming more and more widely used
because of its simplicity and efficiency. In this paper, an improved image segmentation …

Image segmentation is a key technology in image processing, and threshold segmentation
is one of the methods used frequently. Aimed at that only one threshold or several …

This paper presents multi-threshold image segmentation approach based on K-means and
firefly algorithm. This approach first use the firefly algorithm based on the characteristics of …

In this paper is presented an automatic segmentation approach for gray level images based
on usage of metaheuristic swarming algorithms for multiple thresholds computing. The multi …

In order to solve the problems in Two-Dimensional image threshold segmentation such as,
time consuming, low accuracy and easy to produce false segmentation image, a novel …

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 …

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