As we all know, many dynamic objects appear almost continuously in the real world that are immensely capable of impairing performance majority vision-based SLAM systems based on static-world assumption. In order to improve robustness and accuracy visual high-dynamic environments, a real-time robust stereo system for scenes was proposed. To weaken influence content, moving-object detection metho...

In this paper, we discussed the main problems in Chinese segmentation. Firstly, machine segmentation ambiguity (MSA) was de ned formally. The automatic identi cation of MSA and types of ambiguities was emphasized as a most important step of Chinese segmentation. Then, we summarized the existing algorithms of Chinese segmentation (including the identi cation of Chinese names) with theoretical co...

When some bionic optimization algorithms are used for image segmentation, we find that the search speeds of these algorithms are slow and the local searching abilities of these algorithms need be improved. In order to solve these problems, this paper proposed a new image segmentation method based on the improved bacterial foraging optimization algorithm. Firstly, a dynamic step size is used to ...

In digital storage media, Video segmentation is one of the popular and important techniques.The challenging problem in digital storage media is video segmentation. In this hybrid video segmentation technique, initially similar shots are segmented. Then subsequently the track frames in every shot are assorted using the extracted objects of every frame which highly mostly reduces the processing t...

In the present paper we propose a method for fast segmentation of ultrasound data. It is based on setting up a model depending on user input. We apply a matching scheme in order to obtain initial contours for 2D segmentation of several cross-sections of the organ by a discrete dynamic contour. Further, we set up an active image which drives the deformation of the dynamic contour. The active ima...

In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired from nature, where the image segments are a population of entities that struggle for the limited image space and settle territory expansion con icts locally without central authority. Hence, it is a region-based segmen...

We propose a novel algorithm for unsupervised segmentation of color images. The proposed approach utilizes a dynamic color gradient thresholding scheme that guides the region growing process. Given a color image, a weighted vectorbased color gradient map is generated. Seeds are identified and a dynamic threshold is then used to perform reliable growing of regions on the weighted gradient map. O...

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...