搜索资源列表
Edge_Detection_and_Segmentation
- mage Processing Toolbox needed Edge Detection Prewitt Roberts Log Canny Sobel Straight Line Hough Transform quadree region growing threshold watershed
region_growing
- C语言编写的图像分割程序，采用region growing区域生长算法，只能用于pgm灰度图
grid_segmentation.zip
- This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approache
Image Segmentation Using Iterative Watersheding
- This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approache
photo processing
- photo processing
openCV图像处理，内含边缘检测
- openCV图像处理，内含边缘检测、边缘分割、区域增长、高斯噪声、椒盐噪声消除以及自适应中值滤波函数的实现-openCV image processing, includes edge detection, edge segmentation, region growing, Gaussian noise, salt and pepper noise cancellation and adaptive median filter function implementation
SeedGrow.rar
- 实现遥感图像的自动区域生长，无需选择种子点，实现图像的自动区域分割。,Remote sensing imagery to achieve an automatic region growing, the need to choose the seed point, automatic image segmentation.
IMAGE-PROCESSING-SEGMENTATION-BY-REGION-GROWINGl.
- IMAGE PROCESSING: SEGMENTATION BY REGION GROWING
Snake-model-bsegmentation-method
- 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its
region-grow
- region growing algorithm
Region
- 调用opencv库，用C++实现区域增长算法。有注释，比较通俗易懂。-Call to opencv library C++ achieve the region growing algorithm. Notes, is relatively easy to understand.
region-growing
- egion growing approach is the opposite of the split and merge approach: An initial set of small areas are iteratively merged according to similarity constraints. Start by choosing an arbitrary seed pixel and compare it with neighbouring pi
Automatic-Region-DEtection-and-Conversion
- Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
region
- matlab的基于种子的区域生长处理，源码-matlab region grow seed growing matlab regiongrow region growing using matlab regiongrow by seed regiongr
region-grow
- 区域生长法的介绍与实现方法，对于初学者很实用-The introduction and implementation of the region growing method, very useful for beginners
region-based
- region growing based algorithm in image
region
- 区域生长图像分割-MATLAB程序,注释比较完善-Region growing image segmentation-MATLAB program, more perfect note
region-growth
- 区域生长的基本思想是将具有相似性质的像素集合起来构成区域区域生长的基本思想是将具有相似性质的像素集合起来构成区域-The basic idea is to have a region growing pixels of similar nature together constitute the basic idea of the growth of the regional area constitutes a pixel area of
Color-based-region-
- 这是点云库中的，基于色彩的区域增长算法的程序。-clour-based region growing point cloud
region
- 区域生长法，手动选种子点吗，它是一个迭代的过程，这里每个种子像素点都迭代生长 直到处理过每个像素，因此形成了不同的区域，这些区域它们的边界通过闭合的多边形定义。 在区域生长中的主要问题如下: (1)表示区域的初始化种子的选择:在区域生长过程中，这些不同区域点合适属性的选择。 (2)基于图像具体属性的像素生长不一定是好的分割。在区域生长过程中，不应该使用连通性或邻接信息。 (3)相似性:相似性表示在灰度级中观察在两个空间邻接像素之间或像素集合的平均灰度级间的最小差分，它们将产生不同的区域