资源列表
cximage702_full
- (最新版的CxImage类库)CxImage类库是一个优秀的图像操作类库。它可以快捷地存取、显示、转换各种图像。-(the latest version of the CxImage Class Library) CxImage library is a good image manipulation library. It can quickly access, display, conversion of various image.
Savitzky_Golay_gaoguangpu
- IDL实现S-G滤波，建议有需求的学学,学习IDL可以从看程序开始-Savitzky Golay gaoguangpu
coyote_astron.tar
- 国外网站下载的比较有名的大牛编写的代码可以实现，基本的操作功能。-Large cattle written code to download more famous foreign websites can achieve the basic operating functions.
DecisionForest_v3.0
- 自己写改进的经典算法，效果很好，可用于分割以及检测，精度高，效率高，可以直接执行，有简单的注释，可以作为算法的比较等，-Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as com
kdtree1.2
- 自己写改进的经典算法，效果很好，可用于分割以及检测，精度高，效率高，可以直接执行，有简单的注释，可以作为算法的比较等，-Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as com
GMM-HMRF_v1.1
- 自己写改进的经典算法，效果很好，可用于分割以及检测，精度高，效率高，可以直接执行，有简单的注释，可以作为算法的比较等，-Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as com
grid_segmentation
- 自己写改进的经典算法，效果很好，可用于分割以及检测，精度高，效率高，可以直接执行，有简单的注释，可以作为算法的比较等，-Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as com
109201259grabcut_matlab
- 自己写改进的经典算法，效果很好，可用于分割以及检测，精度高，效率高，可以直接执行，有简单的注释，可以作为算法的比较等，-Write your own improved classical algorithm works well and can be used segmentation and detection, high precision, high efficiency, can be executed directly, a simple note can be used as com
random-sample-consensus
- 随机采样一致性(RANSAC)算法代码，用C++实现，作者是Ziv Yaniv-Random sample consensus (RANSAC) algorithm code, using C++ implementation, the author is Ziv Yaniv
Edge-detection-andfilled
- 基于边缘检测对图像进行分割，并把分割的图像进行填充。-Based on edge detection for image segmentation, and to split the image fill.
Image-segmentation
- 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，附有参考资料-Using phase coherence image edge extraction, the K-means clustering region growing image segmentation, with reference
Edge-Detection
- 与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)-Concerned with the past image local characteristics and continuity of local methods, the methods herein can extract images on the overall impressio