- sensorRC 基于9S12(MOTOROLA)单片机的REMOTE SENSOR SHARP is1u60
- 阀值和黑像素之人脸识别 一个基于计算阀值和黑像素值的生物识别软件
- test2 银行家算法 操作系统实验 实现查看资源请求后能否找到安全序列 判断资源请求是否成功
- MedianFilter 把彩色图像转换成灰度图像进行中值滤波 对彩色图像添加高斯噪声
- xiaobozengqiang 基于haar小波的图像增强
- 王兆安_谐波抑制与无功功率补偿(第二版) 谐波抑制与无功补偿全面的详细解答 非常实用(Comprehensive detailed solution of harmonic suppression and reactive power compensation)
资源列表
焰火程序
- 用C语言编写一个焰火程序-C language a fireworks procedures
morphological
- 这个程序实现了对二值图像的数学形态学操作-This program implements the binary image of the mathematical morphology operation
1000
- 一个制作五角星的程序 五角星跟随鼠标移动- A manufacture five pointed star procedure five pointed starfollows the mouse to move
ideal_filter
- 数字图像理想低通滤波器,只要修改把大于号改成小于号就可实现高通滤波器-digital image ideal low-pass filter, as long as the changes has been replaced by greater-than, less than can be achieved high pass filter
Apll
- 数控线切割机编程中,“三切圆”中,作一圆与已知的一个点和两条线相切-Wire EDM digital control programming,"tangent circle with three elements" To make a circle tangent to known a point and two line.
boundaryfill
- 以C語言與OpenGL實作Boundary fill algorithm(Computer Graphics)-The C language and OpenGL implementation Boundary fill algorithm (Computer Graphics)
read-BMP-grayscale-image
- 读取8位灰度BMP图像的一个函数,函数有详细的说明,可以直接运行。-Read 8-bit grayscale BMP image of a function, the function is described in detail, and can be run directly.
watermark
- 对图像进行dct变换,然后将信息嵌入(4,4)系数上,并对其进行提取-Dct transform on the image information embedding, then the coefficient of the (4,4), and its extraction
introduction_to_svm
- 支撑向量机(SVM),源码,可直接编译,编译前需要配置Opencv和VS。 用于分类-Support vector machine (SVM), source code can be compiled directly, you need to configure before compiling Opencv and VS. For classification
xiacaiyangPGLCM
- 程序主要实现了在下采样小波变换的基础上加入了灰度共生矩阵来实现图像纹理特征的提取- Program achieved a lower sampling based on wavelet transform GLCM added to achieve the image texture feature extraction
halftone-print
- 用C++语言实现任意一幅灰度图像的半色调打印-Achieve a grayscale halftone print any image with C++ language
Image-batch-sampling
- 对图像进行批量的降采样,简化后面对图像操作的计算量-The image is sampled, and the calculation of the image is simplified.
