资源列表
Hyperspectral-Data-Classification
- 基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。-An Active Learning Approach toHyperspectral Data Classification
image-classification-approach-
- 基于半监督分类的高光谱图像分类法，半监督基于监督分类和无监督分类。-A novel semi-supervisedhyperspectral image classification approach
chapter16
- 基于图像处理的人脸识别算法研究,运用多种图像识别算法比较识别效果，经试验，PCA算法效果较为明显-Face Recognition Algorithm Based on Image Processing
13990065_3
- 图形学画圆周，输入参数在窗口里画圆周，半径，颜色，圆心-Graphics Circle
13990065_2
- 计算机图形学画直线，有以下参数：圆点，起点，终点。有Bresenham和中点画圆算法-Computer graphics drawing a straight line, the following parameters: dots, start and end points.
Target-tracking
- 有关图像处理的，用于视频中的运动物体的检测和目标追踪。-For image processing, the detection and target tracking of moving objects in video.
13990065
- 计算机图形学画圆弧，有两种算法，有以下参数：起始角度、终止角度、颜色、圆心-Computer Graphics & Videos arc, there are two algorithms, the following parameters: start angle, end angle, color, round
up-sampling-and-down-sampling
- 升采样和降采样，包含matlab 源码，使用和不使用平滑降采样，邻近插值和双线性插值升采样-up sampling and down sampling
improved-CV-model
- 改进CV模型，改进了传统CV模型的C1和C2，让其拟合中心更准确，分割能力更优秀-Improved CV model to improve the C1 and C2 traditional CV model, allowed a more accurate fitting center, the ability to better segmentation
Read_images
- 连续读取一个文件夹中的所有图片并输出各个图片的HSV颜色直方图，vs2013+opencv2.4.9，代码调试通过-Continuously read a file folder of all image and output of each picture HSV color histogram, vs2013+opencv2.4.9, code debugging through
demo
- 通过c++编程对图像进行不同的处理，例如进行图像的灰度，或者对图像进行滤波，或者对图像进行均值化处理等。-By c++ programming for different image processing, such as the gray level image, or the image filtering, or for average processing, etc.
chap10_2
- 数据的霍夫曼编码及参数计算，自己编写，也可直接调用相关函数-Data of the Hoffman coding and parameter calculation, their preparation, but also can directly call the relevant function