资源列表
study4
- opengl学习之四，关于如何旋转opengl物体-lesson4 ,how to rotate in opengl
study8
- opengl课程之八，如何在opengl中进行多个前后物体之间的颜色混合-lesson8 ,blending
dif_fermi_filter
- 对磁共振图像数据进行费米滤波，对滤波后图像进行边缘区域和图像区域的选取，并分别对两者进行均值和标准差的计算，最后得出信噪比。-For magnetic resonance images, we can use a Fermi filter to the image for filtering. After the selection of the area of the air and the area of the image,then calculate the mean value a
Skeleton-pruning
- 这是谷歌特征点提取，可以提取到图像的轮廓，特征点及内部的纹理线，共同描述一幅图像-This is Google feature point extraction, can be extracted into the outline of the image, the texture of the feature points and the internal lines, common to describe an image
tusxiang
- 绘制渐变色图形，使用Vc++，省去很多因为使用图像的麻烦，效果很好-Draw the gradient color graphics, use Vc++, and save a lot of image trouble, good results
OMP
- 近几年压缩感知兴起，其中很重要的图像重建一直是近几年研究的重点，这个比较基础的OMP算法是很基础的一个。-Compression perceived rise in recent years, which is very important image reconstruction has been in recent years, the focus of the study, the basis of comparison of the OMP algorithm is based.
Contrast-stretching
- 数字图像在采集过程中,由于照明或物体本身等原因,经常会出现目标区域对比度低、细节模糊的情况,需要经过进一步的预处理才能使用。一种较为有效的对比度拉升技术,它通过选择合理的分段点来实现图像增强。-The digital image acquisition process, due to reasons such as lighting or object itself, often the target area with low contrast, fuzzy details, you need
s
- 对灰度图像进行直方图均衡化处理。和基于ostu的图像二值化-hist ostu
Binarization-transformation
- 一幅图像包括目标物体、背景还有噪声，要想从多值 二值化 的数字图像中直接提取出目标物体，最常用的方法就是设定一个阈值T，用T将图像的数据分成两部分：大于T的像素群和小于T的像素群。-An image including the target object, the background, as well as noise, in order to be extracted directly from the multi-value binarized digital image of the
baobaoPS
- 鉴于现在网上很流行的包强的3张图片，上传一个可以自己制作字幕的小软件，希望大家喜欢-Now Wangbaoqiang s online three pictures is very popular , upload a small software that can produce their own subtitles, I hope you will like it
motion-detection
- 基于OpenCV的运动目标检测的VC源程序，包含测试视频文件，可直接运行结果。供初学者参考。-This is the original code program of motion detection basiced on OpenCV, including testing video you can run it directly. It is useful for beginners.
k_mean_seg
- 利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.