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partitions
- 图象分析 分割
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
kmeansaa
- 此计划获得的图像和desidered一些分区和认定的手段的不同类别，并提供clasified形象-This program gets an image and the desidered number of partitions and finds the means of the different classes and provides a clasified image
segmentation
- This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and texture differences are exploited
kmeans
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。基于c++和opencv-This program gets an image and the desidered number of partitions and finds the means of the different classes and pro
cut
- 该文章描述了当前最流行的图像分割算法，该算法分割效果很好，可以借鉴。-The article describes the most popular image segmentation algorithm that partitions a good effect, can learn from.
tuxiangfenge
- matlab图像分割实战：检测交通视频中的汽车目标；在多分辨率图像中检测植被；分水岭分割算法；使用纹理滤波器分割图像等-The matlab ICON partitions a true war:Examine the autocar object in the communication video Examine vegetation in many resolution icons The watershed partitions algorithm Use a veins filter
156423
- 为实现教室监控视频中多目标智能跟踪，研究提出了一种基于前景检测修正和梯度特征的改进型ＣａｍＳｈｉｆｔ算法。该算法利用收敛速度分段分区可调的背景重建算法对视频序列进行背景重建与前景检测。综合考虑了前景检测结果，图像 梯度和颜色特征，进行ＣａｍＳｈｉｆｔ目标跟踪。该算法能自适应调节梯度与颜色特征融合比例，对强光有一定的抑制作用。开发了实验软件，仿真结果表明了所提算法的有效性，为解决教室照明用电浪费问题提供一个可行的解决方案。-Surveillance video in the classroom
algorithm
- This paper presents a new algorithm for partitioning a gray-level image into connected homogeneous regions. The novelty of this algorithm lies in the fact that, by constructing a minimum spanning tree representation of a gray-level image, it reduce
search-point
- 区域可以均匀分布成小的等间隔分区，取小区域中所关注的质心-Area can be distributed evenly into small interval partitions, such as center of mass of small areas by attention
huffman coding
- 利用霍夫曼编码进行图像压缩处理，此程序为霍夫曼编码的示例(The performance of a Huffman code is a function of the entropy of the signal distribution and therefore can be highly dependent in the transform domain in which the code is applied. For example, JPEG partitions an image