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geodesic
- 对目前几种在图像分割领域得到较多应用的交互式分割、区域生长分割以及阈值 分割算法进行了探讨,并且结合实际C T片图例分别进行分割实验研究,得到较为满意和 可用性强的结果. 实验表明: 阈值分割对于CT切片的效果最好 区域生长分割适宜于对面 积不大的区域进行分割,分割效果较好 基于动态规划的交互式分割算法比较复杂,计算时 间较长,但对于边缘较平滑的区域,同样具有较好的实际效果. 几种算法的评估为其在C T 图像分割上的实际应用提供了科学依据.-Several current g
3332
- 基于区域生长的图像分割，可以进行有效的图像分割-d region growing image segmentation algorithm code
segment
- 一种新的图像处理算法，结合边缘与区域增长算法，特别适合低对比度图像的分割。-a new image segement based on edge and ,region-growing ,have a good result for that low contrast image.
quyushengzhang
- 通过循环去多个种子点实现基于区域生长的图像分割-Achieve image segmentation based on region growing cycle to go through multiple seed points
Lab__kongjianquyuzengzhang
- 此为在Lab空间下进行区域增长，进行图像分割的程序方法，鲜果明显，适用于大部分的图像。-Method This program is carried out in the Lab space region growing, image segmentation, fruit obviously, for most of the images.
region_growing_segmentation
- 基于PCL1.7.1库，进行三维点的区域增长分割-PCL1.7.1 based code，written by c++，region growing algorithm
regiongrowing
- 区域生长算法 种子点 (x,y) J = regiongrowing(I,x,y,t) I为输入图像 J输出图像 t : 最大密度距离 (缺省为0.2)-Region growing algorithm Seed point (x, y) J = regiongrowing (I, x, y, t) I is the input image J output image t: maximum density distance (default
Image-Growing-and-segmentation
- Segmentation by growing a region seed point using intensity mean measure-Segmentation by growing a region seed point using intensity mean measure
zishiying
- 自适应区域生长算法在医学图像分割中的应用-Algorithm in medical image segmentation adaptive region growing
quyushengzhang
- 一种新的基于区域生长的彩色图像分割算法研究-A new segmentation algorithm for color images based on region growing
bianyuanjiance
- 基于边缘检测和自动种子区域生长的图像分割算法-Image segmentation algorithm based on edge detection and automatic seed region growing
regiongrowing
- 区域生长法实现图像分割 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。具体是先对每个需要分割的区域找一个种子像素作为生长的起点，然后将种子像素周围领域中与种子像素相同或相似性质的像素（根据某种事先确定生长或相似准则来判定）合并到种子像素所在的区域中。将这些新像素当做新的种子像素继续进行上面的过程，直到再没有满足条件的像素可被包括进来，这样，一个区域就长成了。-The basic idea of the pixels to achieve image s
quyushengzhang
- 一种采用了区域生长方法进行图像分割，分割效果比较理想，但是算法比较简单，可以推荐进行简单算法融合时候使用。-A the region growing method is applied to image segmentation, the segmentation effect is ideal, but the algorithm is simpler, can be recommended to use simple algorithm fusion.
seeds
- Seeded region growing with opencv
regionGrowing
- matlab code for Region Growing (2D3D grayscale)
regiongrowing
- it is code for segment imafe using region growing
LYQ
- 图像处理，在WORD中写有区域生长算法的matlab代码，可直接用，也可以改进。-Image processing, written in WORD region growing algorithm matlab code, can be directly used, it can be improved.
2
- 基于区域生长的图像分割方法，在图像分类中很有帮助-Image segmentation based on region growing method, useful in image classification
chap7
- 图像分割，全局阈值，迭代阈值分割，区域生长发等-Image segmentation, global threshold, iterative thresholding, region growing hair, etc.
Project-Codes-(for-submission)
- Blood vessel Segmentation using region growing operation