Research And Application Of The Algorithm, Based On Active Contour Model For Image Segmentation

At present, active contour model has become a important tool in image analysisfield. Nowadays, active contour model has been divided into two classes, parametric andgeometric active contours. This paper analyzes active contour model's principles,methodsand it's applications, and focus on geometric active contours in military affairs andweak-edge regions and color image segementation application. The paper's specific contentinclude following three parts.Firstly, advanced a improved fast method in image segementation according tomilitary affairs image's characteristic. The method has fast image segmentationspeed. According to the compute complexity of level set, the paper advanced a narrow bandalgorithm of level set which can greatly decrease compute complexity and largly raisingcurve's evolve speed, it can combine with level set to segmentation muti-objectssimultaneous.Secondly, the paper advanced a image segmentation method aimed at weak-edgeregions based on Mean Shift cluster segementation. This method can segmentationmuti-objects simultaneously.Thirdly, the paper advanced a colour image segment model based on color gradientmodel aimed at segment colour objects. the model have the advantages of utility and largerapplication range that the model robust to color space in image processing field.Finally, this paper reviewed whole outline and content, pointed out the insufficienciesand make a future outlook in my paper.