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The Study on the Tumor Microscopic Image Segmentation Technology Based on Snake Mode

Author: LiShaoJun
Tutor: GanZuo
School: East China Jiaotong University
Course: Applied Computer Technology
Keywords: Image Segmentation Active Contour Model (Snake) Gradient vector flow (GVF)
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 134
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Abstract


Medical microscopic image is an important basis for clinicians and experts in disease diagnosis , medical image segmentation techniques is extracted from the image , physician interest to observe the target in order to conduct clinical diagnostics and medical research . In particular, through the comparison microscope image changes in shape and size and other characteristics of the cells in different pathological states , can provide new scientific evidence pathological analysis and illness diagnosis . Therefore, the accuracy of image segmentation directly affect the doctors to make a correct judgment of the true situation of the disease , and given the appropriate diagnosis . However , due to the very complex organizational structure and shape of medical microscopic image itself has blurred and uneven characteristics also influenced by image noise , image quality , and many other factors , is difficult to achieve the ideal of the traditional image segmentation techniques segmentation results. Given the limitations of the traditional image segmentation techniques , this paper presents a segmentation method based on the the Snake model the cell . First, today's domestic and international image segmentation technology , and research used for medical image segmentation segmentation gastric epithelial tumors microscopic image of the subject . Second, the focus on the dynamic image segmentation technique - active contour model , by its very nature is a dynamic curve by the joint action of the internal energy and external energy , changing the principle of energy minimization and eventually converge to the need to split the target border. In this section, we detail the basic principle of the active contour models , mathematical definition and calculation method , discussed two improved active contour method . In the analysis of the characteristics of this research image , active contour based on the gradient vector flow (GVF Snake) Applications for this article microscopic cell image segmentation scheme , during the experiment , the inadequacies of the GVF Snake segmentation process , proposed an improved gradient vector flow active contour method , the effect of the experiment proved that the improved segmentation algorithm has higher accuracy and efficiency . Finally, this improved segmentation method applied to this subject the tumor image processing software .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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