资源列表
bmp2avi
- 单帧图像合成AVI视频，程序有详细的参数说明，完全可用-A single frame image synthesis AVI video
zhifangtu
- 在对图像进行处理之前，了解图像整体或局部的灰度分布情况非常必要。对图像的灰度分布进行分析的重要手段就是建立图像的灰度直方图，利用图像灰度直方图，可以直观地看出图像中的像素亮度分布情况；通过直方图均衡化、匹配（规定化）等处理，可以对图像的质量进行调整。该段代码就是对直方图的各种处理，如，直方图生成直方图均衡化和直方图匹配。 -In the image before treatment, understand the whole or local image of gray distribut
edge-detection(4)
- 基于数学形态学的多原点位置结构元素的边缘检测，结构元素的原点位置分别是上，下，左，右，中。-Based on the location of the structural elements of multi-origin of the mathematical morphology edge detection, the origin location of the structural elements are, from left, right, middle.
E
- 这是一个基于matlab图像复原处理包，其中包括图像的模糊、维纳滤波、盲反卷积、点扩散函数和光学转换函数互相转化-This is a recovery based on matlab image processing package, including blur, Wiener filtering, blind deconvolution, point spread function and optical transfer function is transformed into each
GM_Test
- 灰度共生矩阵算法，很不错的图像处理源码。很实用，是学习图像处理非常好的MATLAB程序。-image processing of MATLAB codes, i think it will help you in some ways.
tuxiangSVD
- 自己写的一个matlab程序，关于图像SVD分解，可以直接调用，可以作为图像处理问题的一部分内容。原创。-Himself wrote a matlab program, image SVD decomposition can be called directly, as part of the problem of image processing. Original.
exponential_low_pass_filter
- 指数低通滤波器的Matlab源码实现，通过设置不同参数对比-exponential low pass filter
pipeidone
- 很小的一个脸部匹配程序。通过计算目标和模板的相关系数，圈出相关系数高于阈值的那部分。-Face matching program. Circle to that part of the correlation coefficient is higher than the threshold value by the correlation coefficient calculation target and template.
Untitled2
- 将大小相同的碎片通过灰度图片然后二值化处理最后拼接到一起-Fragments of the same size and by the gradation image binarization processing the last spliced together
edge
- 本算法可以用模糊集合的方法实现图像的边缘检测，经实验，该算法能够检测图像的细节信息-The algorithm can be used fuzzy set method of image edge detection, the experiment, the algorithm is able to detect the image details
camera_dwt
- 对灰度图像采用二维dwt变换，计算能量集中能力并做出图像。-Transform the image using dwt capacity and calculate the energy concentration
kmeans-algorithm(matlab)
- 一种图像聚类分割的简单的算法实现，是最为经典的基于划分的聚类方法-Simple clustering algorithm for image segmentation implementation, is the most classic division based clustering methods