adpmedian

System Generator中伪彩色增强建模(Pseudocolor enhancement model in the System Generator)

基于C++的人脸分割的设计，C／Ｃ++语言、数字信号处理，最好选修过“数字图像处理”。(Based on the C++ face segmentation design, C/C++ language, digital signal processing, the best elect digital image processing.)

手机壁纸截图小工具源码程序，结合易语言扩展界面支持库，应用易语言图像格式转换支持库，可以截取指定格式的图片，用于手机壁纸。(Phone wallpaper theme gadget source program, combined with easy language support library expansion interface , the application image format conversion easy language support library , can intercept a specified format pictures, wallpaper for mobile phones .)

一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)

一维条形码的识别源码，阈值处理，二值化处理，去噪处理(Bar codes to identify source)

多尺度LBP，代码根据论文“Learning Multi-scale Block Local Binary Patterns for Face Recognition”编写的(this code is obtained from the paper named "Learning Multi-scale Block Local Binary Patterns for Face Recognition")

经典数字图像处理算法仿真，包括图像的傅里叶滤波及压缩，图像的DCT高通、低通滤波，图像直方图均衡化，图像平滑与锐化，图像的模糊化，哈夫曼编码等，以及GUI图形化界面。(Classic digital image processing algorithm simulation, including Fourier filtering and image compression, image DCT high-pass, low-pass filtering, image histogram equalization, image smoothing and sharpening, blurring the image, Huffman coding, as well as GUI graphical interface.)

压缩感知重构算法，正交匹配投影算法，一维信号重建(Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction)

利用饼型图分析产品市场占有率 实例 附源码

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)