Traditionally, it was hard for image segmentation to suit the cotton image segmentation of foreign fibers. To solve this problem, this paper proposed an image segmentation method of foreign fibers based on HSV color space. The value of foreign fibers images’ S channel was enhanced in this method to improve the contrast of foreign fiber and its background which help the subsequent image segmenta...

This paper presents image segmentation and texture analysis algorithms on synthetic and real images. This research work demonstrates the considerable variability in an image understanding system performance based on different choices of image segmentation and texture analysis algorithms used. This research work includes results of a segmentation method to extract the object based on color and t...

Image segmentation is a very important step in image analysis, and performance evaluation of segmentation algorithms plays a key role both in developing efficient algorithms and in selecting suitable methods for the given tasks. Although a number of publications have appeared on segmentation methodology and segmentation performance evaluation, little attention has been given to statistically bo...

-Mathematical Morphology provides systematic approach to analyze geometric Characteristic of signal or images, has been applied to many application such as Edge Detection, Object segmentation, noise suppression. Image segmentation is one of the most important categories of image processing. The watersheds transformation for image segmentation using mathematical morphology is widely used. When w...

Image segmentation has an essential role in the image annotation process which assigns meaningful words to an image taking into account its content. For this reason it is important to identify which segmentation algorithm is producing better results. This evaluation can be made using segmentation error measures for consistency quantification and by analyzing the results of the annotation proces...

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

Image segmentation is the process of delineating an image into foreground and background regions. Typically, the computer-assisted image segmentation techniques are classified as either fully automated or interactive segmentation methods. These interactive segmentation techniques are typically graph-driven and are further sub-categorized as either regionor boundary-based algorithms. Livewire is...

Image Segmentation is considered as one of the main steps in image processing. It divides a digital image into multiple regions in order to analyze them. It is also used to distinguish different objects in the image. In segmentation, we simply represent the image into more understandable form. Segmentation basically used to detect the objects, boundaries and other relevant data in the digital i...