资源列表
RepairPic
- 单幅图像的消除噪声的图像处理~希望有帮助~-Single image of the image processing to eliminate noise ~ ~ hope that helps
xclhsvmsr
- 这是基于HSV色彩空间的RETINEX的去雾算法！有神奇的效果~-This is based on the HSV color space of the Retinex algorithm to fog! Have a magical effect to
bp_erf_log
- 混合像元分解，是定量遥感中非常重要的组成部分之一，在反演地表参数时是必须要考虑的因素之一，文中罗列了分解的一些方法-mixed pixel decomposition, is the quantification of remote sensing very important component of one of the the inversion of surface parameters is to be considered one of the factors, the paper
harris
- 利用harris算法实现棋盘平面上的角点的检测。-Harris algorithm using the chessboard plane corner detection.
mat2lpc
- 此函数可以完成霍夫曼编码中预测编码，可以对每一个像素进行预测-This function can be completed predictive coding Huffman coding, can be predicted for each pixel
Kalman-fusion-method
- 图像融合是图像处理的重要一环，但图像融合目前未有通用的技术，此代码试采用Kalman方法对图像进行融合，试图达到一个较好的图像信息保留和处理-Image fusion is an important part of image processing, but the image fusion is at present no common technology, this code sample using the Kalman method for image fusion, trying t
lpfilter1
- 要求做一个实验，对一副M*N大小的图像重复使用截频为D0的高斯低通滤波器进行滤波。假设K为滤波次数。当K足够大时，滤波结果是什么样？并从理论上说明这一结果产生的原因。 -Asked to do an experiment on a M* N image size cutoff frequency reuse as D0 Gaussian low-pass filter for filtering. Assuming K is the filter frequency. When K is l
vehicle_detection1
- 关于车辆阴影检测的一个小例子，希望对大家有帮助-Vehicle shadow detection on a small example, we want to help
BMP2RLimage
- 图片截图分左右两边保存为两张图片,可用於3D side-by-side 图档的研究-catch the screen and save the images as left side and right side, it is the tool to study 3D side-by-side format image
PIL
- PIC截图，通过PIC模块截取任意图像.程序有PUTHON 语言写成-PIC screenshots, intercept any image by PIC module
tuxiangruihua
- 图像锐化是补偿图像的轮廓，增强图像的边缘及灰度跳变的部分，使图像变得清晰，分为空域处理和频域处理两类。-Contour correction is image sharpening images, image enhancement and edge part gradation transitions, image becomes clear that the airspace is divided into two types of treatment and frequency domai
RGB
- 一个简单的检测图像中特定颜色的程序，opencv颜色识别的HSV中各个颜色所对应的H的范围： Orange 0-22 Yellow 22- 38 Green 38-75 Blue 75-130 Violet 130-160 Red 160-179-image identification