targer_point

彩条产生程序。。。。720p需添加74.25M时钟(colorbar generation. need 74.25mhz clock if 720p gen)

Visual C++下的小波变换，小波分解与重构，加入噪声分析，显示分解和重构图形。(Wavelets for data encode and uncode, the figures would be shown.)

本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量，还能避免Retinex算法中带来的光晕效应，同时算法速度与同类型的图像增强算法比较更快速。之后，将这种理论运用到对彩色图像增强中，取得了很好的处理效果。 （使用同方知网浏览器打开）(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))

语音信号小波去噪 在小波基 db3 下进行一维离散小波反变换 对输出信号抽样点值进行归一化处理(Speech signal wavelet de-noising in wavelet bases ' db3' one-dimensional discrete wavelet transform on the output signal sample point value normalization)

利用MATLAB处理图形图像，求曲线的曲率(Using MATLAB processing graphics demand curve curvature)

用DHNN （离散Hopfield网络）存储6幅图像作为联想记忆信息，然后对图像进行加噪处理，用所设计的DHNN进行图像复原，给出结果。(Storing DHNN (discrete Hopfield network) six images as associative memory information, and then add noise to the image processing, image restoration designed with DHNN, shows the results.)

改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 (Improve classic otsu algorithm to achieve image segmentation)

这是用matlab编写的图像缩放代码，能实现灰度或者彩色图像的放大缩小以及小数倍。使图像处理初学者的好材料(This is used to prepare the image scaling matlab code, to achieve gray scale or color images and small many times zoom. Image processing to make a good material for beginners)

一种像素级指纹方向场估计算法以及对应的像素级奇异点检测算法。(A pixel-level orentation field estimation algorithm and the corresponding singular point detection method.)

说明：  文件说明： a1:将二进制文件转为Matalb数据 并批量保存为mat格式 a2:mat数据批量转为图片(RGB三通道） a3:RGB图片批量转灰度图、批量改变图片大小 a4:动图制作 a5:用训练好的网络对图像语义分割(Document description: A1: Convert binary files to Matalb data and save them in batch as mat format A2: mat data batch to picture (RGB three channel) A3:RGB Picture Batch Grayscale, Batch Change Picture Size A4: Motion Mapping A5: Segmentation of image semantics using trained networks)