Description: 首先采用灰度投影匹配进行全局运动估计和补偿，用以消除背景变化的影响；然后由二次差分抽取中间帧解决遮挡问题，通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜，同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题，并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact of changes in background; then by the second difference from the middle frame settlement block, Fisher evaluation function by combining mathematical morphology be filled Moving Object segmentation mask, while eliminating residual noise and edge smoothing. The method in a certain range to help solve the problem of shelter, and to the rapid and efficient access to more precise video objects. Platform: |
Size: 303049 |
Author:李杰 |
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Description: 首先采用灰度投影匹配进行全局运动估计和补偿，用以消除背景变化的影响；然后由二次差分抽取中间帧解决遮挡问题，通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜，同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题，并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact of changes in background; then by the second difference from the middle frame settlement block, Fisher evaluation function by combining mathematical morphology be filled Moving Object segmentation mask, while eliminating residual noise and edge smoothing. The method in a certain range to help solve the problem of shelter, and to the rapid and efficient access to more precise video objects. Platform: |
Size: 303104 |
Author:李杰 |
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Description: 该程序是对原图像进行梯度加掩模的三次分水岭分割-That the procedure was in the original image mask plus three gradient watershed segmentation Platform: |
Size: 1024 |
Author:lj |
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Description: 程序可以选择输出二值图像。二值图像可以通过对每个梯度点取阈值得到，其中阈值T为输入参数。并且要求结合3*3掩模的平滑运算和本实验上面的原算，并对图像进行处理，分割出图像中间的大血管区域，并将结果用二值图表示。在实验中需要对平滑运算方法和阈值T进行反复调整。-Program can choose the output binary image. Binary image can be taken for each gradient point to the threshold should be, in which the threshold T for the input parameters. And requirements with 3* 3 mask and the smooth operation of the experiment above the original balance, and image processing, image segmentation of the middle region of the great vessels, and the results expressed by binary image. In the experiment the need for smooth computing methods and repeated T threshold adjustment. Platform: |
Size: 135168 |
Author:jhm |
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Description: 就如何从视频序列中分割出具有语义意义的运动对象 ,本文提出了一种自动的基于背景的运动对象分割算法 ,利用颜色、形状和灰度等特征对第一帧图像进行初步分割 ,然后根据帧间运动信息构造背景图像 ,最后以背景图像和帧差图像作为参考图像 ,对同一场景中的所有视频帧进行快速可靠的分割 。-On how to split out from the video sequences of moving objects with semantic meaning, this paper presents a context-based automatic segmentation of moving objects, using color, shape and gray-scale image features such as the initial frame of the first split, then inter-frame motion information structure background image, background image and finally the frame difference image as a reference image of the same scene in all the video frames for fast and reliable segmentation. Platform: |
Size: 592896 |
Author:charles |
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Description: 用grabcut算法对图像进行分割，程序支持mask和矩形框两种输入，并附有样图和结果图。详细原理请参考文献： GrabCut - Interactive Foreground Extraction using Iterated Graph Cuts-Grabcut algorithm is for image segmentation. the program supports two input mask and a rectangular box, along with sample diagrams and results in Fig. For details please refer to the document:GrabCut- Interactive Foreground Extraction using Iterated Graph Cuts Platform: |
Size: 922624 |
Author:Linda |
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Description: Glaucoma detection using SVM classifier and CDR And RDR Ratios as features. It uses Neuro Retinal rim extraction using otsu segmentation algorithm and ISNT mask generation For Calculation RDR. After SVM will used for classifying patient as glaucomatic or not Platform: |
Size: 2882560 |
Author:Neethu |
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Description: 程序功能：
1、对原始dicom病例进行中值滤波（滤波模板为3x3）
2、进行阈值分割及筛除步骤
3、导入肝掩膜凸壳，并对其腐蚀（腐蚀结构元素半径为10）
4、对2步骤中结果与肝掩膜做与运算- Program features: 1 of the original cases were dicom median filter (filter template for 3x3) 2, threshold segmentation and screening Step 3 import liver mask convex hull, and its corrosion (corrosion of structural elements radius 10) 4 , the result of the second step and do a mask and liver operation Platform: |
Size: 1024 |
Author:sherrytuan |
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Search - mask for segmentation