Image segmentation is the initial step in image analysis and pattern recognition. Image segmentation refers to partitioning an image into different regions that are homogenous or similar in some characteristics. Color image segmentation attracts more and attention because color image color images can provide more information than gray level images. Basically, color image segmentation approaches...

As day by day new computer technologies are emerging in the area of image processing, especially in the field of segmentation. Image Segmentation is a hotspot and important process of image processing. Several algorithms and techniques are developed for image segmentation. It is a technique of partitioning digital image into multiple regions called segments for further analysis. It is very usef...

Image segmentation is the important task for image analysis and understanding it. The segmentation of color image is challenging task in the image analysis process. Segmentation of color images gives more information than gray scale image. This paper performs segmentation of color image in different color spaces, as segmentation of RGB color image not always gives better segmentation results al...

skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. if they detected at an early stage, treatment can become simple and economically. accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. the aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

Image segmentation is a challenging research area in computer vision, image processing, and computer graphics. Interactive image segmentation is one important research branch of image segmentation, which has been applied in many areas such as medical imaging, movie industry, object tracking and sports. In this master’s thesis, a novel image segmentation method has been developed. This segmentat...

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

For some applications, such as image recognition or compression, we cannot process the whole image directly for the reason that it is inefficient and unpractical. Therefore, several image segmentation algorithms were proposed to segment an image before recognition or compression. Image segmentation is to classify or cluster an image into several parts (regions) according to the feature of image...

Image Segmentation is a most important task of image analysis. Number of method used for image segmentation. Image segmentation mainly used in different field like medical image analysis, character recognition etc. A segmentation method finds the sets that are different structure from each other and completion of segmentation process that cover entire image. In Proposed method Select multiple r...

Image Segmentation is a technique that partitioned the digital image into many number of homogeneous regions or sets of homogeneous pixels is called image segmentation. Efficient and effective image segmentation is an important task in computer vision and object recognition. Since fully automatic image segmentation is usually very hard for natural images, interactive schemes with a few simple u...

Accurate estimation of motion from time-varying imagery has been a popular problem in vision studies, This information can be used in segmentation, 3D motion and shape recovery, target tracking, and other problems in scene analysis and interpretation. We have presented a dynamic image model for estimating image motion from image sequences, and have shown how the solution can be obtained from a ...