Background: Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective: This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...

The practical use of the latest methods for supervised 3D shape co-segmentation is limited by the requirement of diverse training data and a watertight mesh representation. Driven by practical considerations, we assume only one reference shape to be available and the query shape to be provided as a partially visible point cloud. We propose a novel co-segmentation approach that constructs a part...

________________________________________________________________________________________________________ Segmentation criteria for the annotation of co-speech gestures Gesture has been arousing a growing interest in linguists who are attracted by the multimodality of information structuring, organized into the verbal, vocal and visual modes. Yet, in order for visual information to be taken into...

Abstract: Many automated visual inspection applications rely on a segmentation of surfaces into meaningful regions, for instance into defective and non-defective areas. This paper presents a segmentation approach based on illumination series, by which we denote a set of images taken under variable directional illumination. We show that co-occurrence matrices calculated from the series of images...

This paper focuses on domain adaptation in a semantic segmentation task. Traditional methods regard the source and target as whole, image matching is determined by random seeds, leading to low degree of consistency between domains interfering with reduction gap. Therefore, we designed two-step, three-level cascaded strategy—co-occurrence-based (COCM)—in which two steps are: Step 1, design strat...

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

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...