The purpose of this study is to find out if there is a relationship between parameter ofsegmentation and customer satisfaction, in order to find out the current parameter of segmentationin automobile industries In India researcher has gone through several published journal, books,magazines and companies data. The result shows that the most important factor for segmentation ofautomobile industri...

introduction breast cancer is one of the most common types of cancer among women.  early detection of breast cancer is the key to reducing the associated mortality rate. the presence of microcalcifications clusters (mccs) is one of the earliest signs of breast cancer. due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...

We propose a groupwise registration method for cardiac perfusion images using temporal information. Perfusion image characteristics make groupwise registration especially attractive, and registration accuracy is improved by including segmentation information. Registration aims to maximize the smoothness of the intensity signal while segmentation minimizes a pixel’s intensity difference with oth...

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...

Image segmentation is useful in many applications. It can identify the regions of interest in a scene or annotate the data. It categorizes the existing segmentation algorithm into region-based segmentation, data clustering, and edge-base segmentation. Region-based segmentation includes the seeded and unseeded region growing algorithms, the JSEG, and the fast scanning algorithm. Due to the prese...

In this article, we propose an automatic method for the segmentation of pollen grains from microscope images, followed by the automatic segmentation of their exine. The objective of exine segmentation is to separate the pollen grain in two regions of interest: exine and inner part. A coarse-to-fine approach ensures a smooth and accurate segmentation of both structures. As a rough stage, grain s...

Image segmentation method based on level set model has wide potential application for its excellent segmentation result. However its complex computing restricts its application in video segmentation. In order to improve the speed of image segmentation, this paper presents a new level set initialization method based on Chan-Vese level set model. After a simple iterative, we can separate out the ...

White blood cell (WBC) segmentation, which is important for cytometry, is a challenging issue because of the morphological diversity of WBCs and the complex and uncertain background of blood smear images. This paper proposes a novel method for the nucleus and cytoplasm segmentation of WBCs for cytometry. A color adjustment step was also introduced before segmentation. Color space decomposition ...

computer-aided diagnosis (cad) systems can assist radiologists in several diagnostic tasks.  lung segmentation is one of the mandatory steps for initial detection of lung cancer in posterior-anterior chest radiographs. on the other hand, many cad schemes in projection chest radiography may benefit from the suppression of the bony structures that overlay the lung fields, e.g. ribs. the original ...

For the structural characteristics of Chinese NvShu character, this paper proposes an improved two-dimensional (2-D) OTSU segmentation method based on the lateral inhibition network for Nvshu character image. A 2-D histogram with the gray level and the lateral inhibition level of the image was established and the maximum between-cluster variance was chosen as the criterion to select the optimal...