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wenxian
- 针对自然生长状态下的成熟苹果图像的识别问题，提出选用R-G色差模型，改进的Ostu最大类间方差法分割图像。 然后用面积阈值法消除噪声，获取成熟苹果果实的目标区域。然后采用基于OpenCV的圆形Hough变换方法对多个粘连苹果果实进行分离。-For image recognition problem ripe apples natural growth state, the proposed selection of R-G color model between improved Ostu Ot
image-segmentation
- visualc++ 编写的图像分割程序，包含阈值分割，种子填充，区域生长等算法。-Visualc++ Prepared image segmentation program, including thresholding, seed filling, regional growth algorithm.
tuxiangchuli
- matlab下对于图像分割中分水岭算法和区域生长阈值发的对比。-Comparison of watershed algorithm and regional growth threshold in image segmentation under.
QUYU1
- 基于区域生长的图像分割程序，获得区域生长起始点，作一个全零与原图像等大的图像矩阵Y，作为输出图像矩阵-Image Segmentation Program Based on Region Growth，Access to regional growth starting pointA large image matrix Y, such as an all-zero and original image, is used as the output image matrix，
QUYU2
- 区域生长的图像分割程序，将生长起始点灰度值存入seed中，记录每次判断一点周围八点符合条件的阈值-Area growth of the image segmentation program, the growth of the starting point gray value stored in the seed, the record every time around the point of eight points meet the threshold
region_growing
- 图像处理算法 -基于区域生长的图像分割算法，对于不是很复杂的图像，处理精度很高。-Image processing algorithms the image segmentation algorithm based on region growinig, for the image is not very complex, high processing precision.
5
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers are attached.)
6
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached.)
1
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。多目标优化 一个含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. M
2p
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。多目标优化 含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Mul
regiongrow
- 区域生长，图像的分割，种子点选取流程，，，，，，，，，，，，，，，，，，，(mage segmentation is the technology and process of dividing an image into several specific and unique regions and presenting interesting targets. It is a key step from image processing to image analysis. The exis