Description: 像素聚类区域成长法--
顾名思义,此方法从一个种子像素开始,通过如平均灰度,组织纹理及色彩等性质的判断,将具有类似性质的像素逐一纳入所考虑的区域中,使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth-- the name implies, this method from a seed pixels, through such as average gray, the color and texture organizations such as the nature of judgment, with similar to the nature of each pixel into consideration the region, so this area has gradually grown from seed into a nature similar to the image block. Platform: |
Size: 4096 |
Author:xinxin |
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Description: 区域生长,基本处理方法是 以一组种子点开始来行程生长区域,即将哪些预定义属性类似于种子的邻域像素附加到每个种子上 -regional growth, the basic approach is based on a group of seed starting point to the growth of regional tour, What about predefined attributes similar to seed the neighborhood of each pixel additional seeds Platform: |
Size: 1024 |
Author:carolin1980 |
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Description: 区域增长的算法实现: 1)根据图像的不同应用选择一个或一组种 子,它或者是最亮或最暗的点,或者是位 于点簇中心的点 2...通过像素集合的区域增长 算法实现: 区域A 区域B 种子像素增长.3)增长的规则 4)
结束条件.-regional growth algorithm : 1) According to the images chosen a different application or group of seeds, It is perhaps the most- or the most secret, or at the point of the cluster center point ... through two sets of pixels regional growth algorithm : A regional seed pixels B regional growth .3) growth rules 4) concluded conditions. Platform: |
Size: 2048 |
Author:蒋建军 |
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Description: 单种子点区域生长图像分割算法:基本处理方法是 以一组种子点开始来行程生长区域,即将哪些预定义属性类似于种子的邻域像素附加到每个种子上-Single seed point region growing image segmentation algorithms: the basic processing method is based on a set of seed points, started to trip the growth region, which is about predefined attributes similar to the seed pixel neighborhood attached to each seed on Platform: |
Size: 1024 |
Author:tory |
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Description: 经典区域生长源码(区域增长),比起灰度阈值法有不可比拟的优势,一旦尝试,欲罢不能啊,只是,在实时性应用方面还有待改进,m代码编写易懂,易用,易改写成其他语言,如果改写成c,应该速度有所提高.请尽情享用-Classical region growing source (regional growth), compared to gray-scale threshold method has unparalleled advantages, once the attempt to stop ah, but, in real-time applications have yet to be improved, m coding easy to understand, easy to use, easy to rewritten into other languages, if rewritten into c, the speed should be improved. please enjoy Platform: |
Size: 1024 |
Author:zz |
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Description: 一个常用的matlab图像区域生长程序,由给定的单个种子和阈值条件进行生长-Matlab image of a commonly used region growing process, from a given individual seeds and the growth of the threshold conditions Platform: |
Size: 1024 |
Author:fantisst |
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Description: 该程序是MATLAB源程序,通过区域生长来对图像进行分割。-MATLAB source code of the program is through the growth to the region segmentation of images. Platform: |
Size: 1024 |
Author:蔡琼 |
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Description: 使用区域增长的算法进行区域分割。鼠标点击图像的某个区域的某个像素,并指定染色所用颜色(红绿蓝黑),程序执行的结果是用指定的颜色把某个区域显示出来。-Regional growth in the use of regional segmentation algorithm. A mouse click on the image of a pixel region, and specify the dye color used (black and red and green), implement the results of the procedure is designated an area of color to be displayed. Platform: |
Size: 1024 |
Author:cui ju |
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Description: 1. 在GUI中,实现图像的阈值分割(交互式、迭代法)、区域生长。
2. 在GUI中,,实现二值图像的膨胀、腐蚀, 比较'结构元素类型为:square,line, diamond, disk等的区别。
3. 在GUI中,实现二值图像的开运算、闭运算。
4. 在GUI中,实现二值图像的形态学应用:
边界抽取 (boundary extraction)
区域填充 (region filling)
细化 (thinning)
粗化 (thickening)
骨架 (skeletons)
修剪 (pruning)(1., in GUI, the image threshold segmentation (interactive, iterative), region growth is achieved.
2. in GUI, to achieve expansion and corrosion of two valued images, compare the types of structural elements: square, line, diamond, disk and so on.
3. in GUI, to achieve two valued images on the open, closed operations.
4. morphological applications of two valued images are implemented in GUI:
Boundary extraction (boundary, extraction)
Zone fill (region, filling)
Refinement (thinning)
Roughening (thickening)
Skeleton (skeletons)
Trim (pruning)) Platform: |
Size: 800768 |
Author:Jamesma
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