搜索资源列表
otsu
- 图像分割中常见的基于阈值处理的ostu算法，是最常用的图像分割算法。-Image segmentation in the common thresholding based on the ostu algorithm is the most commonly used image segmentation algorithm.
meanshift-segmentation
- 自己改编的meanshift彩色图像分割算法，简单实用，有利于初学者学习meanshift算法-Their adaptation of the meanshift color image segmentation algorithm, simple, practical, and is helpful to beginners learning meanshift algorithm
Ncut_9
- 归一化切割和图像分割算法及其论文,归一化分割不仅度量了不同分组之间总体不相似性，同时度量了分组内的总体相似性-Normalized cuts and image segmentation algorithm and its papers, normalized measure divided not only between the different groups no overall similarity, while the overall measure of similarity wi
two_threads_otsu
- 基于VS编写的二阈值OTSU图像分割算法。应用opencv。适用于图像分割入门学习。-Two threshold OTSU image segmentation algorithm based on VS. Application opencv. Suitable for image segmentation.
three_threads_otsu
- 基于VS编写的3阈值OTSU图像分割算法。应用opencv。适用于图像分割入门学习。-3 threshold OTSU image segmentation algorithm based on VS. Application opencv. Suitable for image segmentation.
imagesegment
- 几种简单的图像分割算法，如基于阈值的分割，基于HSV颜色空间的分割等，自带检测图片-Several simple image segmentation algorithms, such as those based segmentation threshold segmentation based on HSV color space, etc., comes detect Photos
four_otsu
- 基于VS编写的4阈值OTSU图像分割算法。应用opencv。适用于图像分割入门学习。-4 threshold OTSU image segmentation algorithm based on VS. Application opencv. Suitable for image segmentation.
levelset
- 基于水平集的图像分割算法，用于对数字图像的分割，对于不复杂图像非常的精确。-Image segmentation algorithm based on level set, used for digital image segmentation, for complex image is very accurate.
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.
图像分割最小误差法
- 最小误差法是一种较为常用的自动阈值分割方法，此方法来源于Bayes最小误差分类方法。通常以图像中的灰度为模式特征，假设各模式的灰度是独立分布的随机变量，并假设图像中待分割的模式服从一定的概率分布，则可以获得满足最小误差分类准则的最佳阈值分割。 该算法主要思想是假设图像中只存在背景和目标两种模式，根据目标和背景像素占图像总像素的百分比求出其混合概率密度，选定一个阈值T；再根据将目标像素点错划为背景像素点的概率和把背景像素点错划为目标的概率求出总的错误概率，那么最佳阈值就是使总错误概率最小的阈
san-ax23
- 中介真值程度度量，基于中介真值程度度量的图像分割算法优化非常好，几乎没有循环，人脸识别中的光照处理方法。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Algorithm optimization is very good, almost no circulation,
fenge
- 内涵一些简单的图像分割算法程序，包括经典的阈值分割算法程序以及边缘检测算法程序。-Simple image segmentation method, the connotation of the classic in the field of image segmentation threshold segmentation algorithm program and edge detection algorithm.
segmentation-and--detection
- 自己根据公式编写的大津法、迭代法等图像分割算法，及中值模型、自适应模型等运动目标检测算法-According to the formula prepared by the Otsu method, iterative method and other image segmentation algorithm, and the median model, adaptive model and other moving target detection algorithm
region-grow
- 图像分割算法中的种子点生长算法，用txt保存的，复制粘贴一下就能用，亲测，还不错-region grow
otsus-1.0
- Otsu图像分割算法的实现，通过最小化图像方差来找到最佳阈值-functional implementation of the Otsu’s segmentation method
Superpixel-Segmentati
- 1. 理解基于超像素进行图像分割的原理，设计合理的分割算法； 2. 实现图像分割算法，得到准确的分割效果； 3. 进行快速算法研究，实现快速的图像分割。 成果形式：-1 u7406 u89E3 u57FA u4E8 u8D0 u8DF u7D20 u8FDB u684C u56FE u50CF u5206 u5272 u7684 u539F u7406 uFF0C u8BBE u8BA1 u5408 u7406 u7684 u5206
kmeans1
- 基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点-Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm
程序及图片
- 大津展之算法对图像进行精确的分割后应用于混沌的图像加密中(The precise Otsu algorithm to segment the image after the application for image encryption in chaos)
20170616MinimalSurfacePartitioning
- 2017年06月16日，加利福尼亚大学的Dominique Zosso教授提出的极小曲面分割图像处理算法，经验证该算法能够实现对二维图像的合理模态分割，具有较好的使用价值文章参考：Dominique Zosso, Braxton Osting, "A minimal surface criterion for graph partitioning", Inverse Problems and Imaging 10(4):1149-1180, 2016.(06 2017 16
fcm
- fcm算法 可以实现较好的聚类效果，满足条件广泛，适用范围多，(fcmFCM algorithm can achieve better clustering results, to meet a wide range of conditions, the scope of application of many,)