Bioluminescence Imaging (BLI) of Optical Molecular Imaging is considered to be a more promising molecular imaging mode because of specific molecular probes, highly sensitivity , non-invasive and continuous observations. So it is very significant to development a bioluminescence imaging system owned independent intellectual property rights in China. This paper provided analysis and design from image segmentation theory to a bioluminescence imaging system architecture. Bioluminescent images segmentation is a core part of BLI system, and segmentation results directly determines the visualization, thereby affecting the image analysis, resulting application inaccuracy even application error. This paper firstly analyzed the characteristics of bioluminescent images , then proposed both automatic segmentation algorithm, which based on one-dimensional histogram. The first step of automatic segmentation is to normalized every pixel by globel sum of pixels of the bioluminescent image, then segment the ROI with prior knowledge to obtain the target. This paper proposed adaptive segmentation to remedy the defects of Automatic segmentation algorithm for multi-source, which shields the interference region and distinguishes the resources by seed points. Segmentation algorithm based on tow- dimensional histogram of gray and circle mean value can better handle the “dead pixel” issue of bioluminescent images, and this paper used the measure criteria of maximizing the intra-class variance minus inter-class variance to improve the segmentation performance and achieve the overall distinction between foreground and background. Bioluminescence Imaging System (WinMI) mainly contains data collection, image processing and interactive image analysis. It is required to reduce the affect of noise before segmenting the bioluminescent images, and it is required too to add pseudo-color after segmenting the bioluminescent images and to fuse the white image and bioluminescent image to determine the position of ROI. To solve the problem of serial structure of image processing , this paper proposed chain design, realizing the goal of high cohesion and no coupling ,which could expediently and efficiently adds or deletes image segmentation and other processing procedure to WinMI. Experiments showed that both bioluminescent image segmentation algorithm and platform of bioluminescence imaging system can well meet the application requirements, achieved the expected goal. Finally, WinMI has pa...
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