搜索资源列表
Algorithms
- 图像处理中的多种超像素分割算法，整理到一起供大家分享使用！(A variety of image processing in the superpixel segmentation algorithm, together for everyone to share with!)
阅读
- 关于分割的一些文档 及算法 以及动态二值化 不规则形状的模板等(Some documents and algorithms about segmentation As well as dynamic two valued irregular shape templates, etc.)
marchingcubes
- 图像分割中的marchingcubes 算法，能够生成最终的三维模型(marching cubes algorithm)
watershedSeg-master
- 将分水岭算法用于图像分割，将深度图像数据集成到标记控制的分水岭RGB图像分割算法中(watershed algorithm image segmentation INTEGRATING DEPTH IMAGE DATA INTO MARKER CONTROLLED WATERSHED RGB IMAGE SEGMENTATION ALGORITHM Onur Olgac, Cihan Avci)
ncut_multiscale
- ncut 图像分割算法，test为测试程序，可直接使用(NCUT image segmentation algorithm, which can be used directly)
xingtaixuechulihou
- 采用了各种基础性的对比度增强算法以及自动阈值分割算法应用于图像分割(A variety of basic contrast enhancement algorithm and automatic threshold segmentation algorithm are applied to image segmentation.)
Segmentation
- 读取程序目录下的save.yuv的视频图像文件，然后执行水平集分割算法，最后演化为分割后的效果(Read the video and image files of save.yuv under the program directory, then perform the level set segmentation algorithm, and finally evolve into the segmentation effect.)
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习，用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)
第一部分算法程序改后
- 聚类分割实现的MRI图像分割，效果还算可以，硕士算法是在这个基础上改进的。(The MRI image segmentation achieved by clustering segmentation is acceptable. The master algorithm is improved on this basis.)
77_分水岭算法
- 使用分水岭算法实现图像分割，书中例子。。。。。。。。。。(watershed algorithm)
应用FCM分割车牌字符
- 基于FCM算法分割车牌字符，包含车牌的定位等。(Based on FCM algorithm, the license plate characters are segmented, including the positioning of license plate.)
水平集分割算法
- 基于活动轮廓线的图像分割代码，测试过有效，代码简单易懂。
用FCM实现分割
- 基于模糊C-均值聚类算法的图像分割，消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
slic
- SLIC超像素分割算法，利用Kmeans等对图像进行分割，识别图像边缘(SLIC super pixel segmentation algorithm, USES Kmeans to segment the image and identify the image edges)
meanshift聚类
- 医学图像分割方法的研究较多,而对分割算法的评价方法的研究却很少的问题,提出了一种判断和比较医学图像分割算法优劣的评价方法。首先对现有的几种评价方法进行了综述,并总结出了一套评价系统。可靠性、精确性、区域统计特性和效率是评价一个分割方法的4个重要参数(There are many researches on medical image segmentation methods, but there are few researches on the evaluation methods of se
图像分割
- 利用鱼群算法进行图像分割图像，分割效果非常好，有很大的价值
二维最大熵与交叉熵结合
- 二维的最大熵与交叉熵结合的图像分割算法，有助与提高图像分割中阈值选取的稳定性。(The combination of two-dimensional maximum entropy and cross-entropy is helpful to improve the stability of threshold selection in image segmentation.)
利用遗传算法来进行图像分割
- 基于遗传算法的图像分割，内有详细注释，可跑通(Image Segmentation Based on Genetic Algorithms with Detailed Annotations)
椭圆约束主动轮廓视盘分割
- 对图像分割，初始轮廓为椭圆。变化的过程中始终以椭圆为约束(For image segmentation, the initial contour is an ellipse.)
Graytest
- 使用超绿特征分割作物图像。具体来说，首先使用超绿特征将图像灰度化，然后经过中值滤波后，使用Otsu最大类内方差方法将图像二值化，得到分割图像。(The crop image is segmented by super green feature. Specifically, firstly, the image is grayed by Super-Green feature, and then after median filtering, the Otsu maximum intra-cla