retinex

视觉引导车路识别：灰度AGV路径识别；彩色AGV路径识别；HSI彩色空间的AGV路径识别；路径中心线的定位；Radon变换的AGV路径偏差检测(Vision Guided Vehicle Road Identification: gray AGV path identification color AGV path identification HSI color space of the AGV path identification path centerline positioning Radon transform of the AGV path deviation Detected)

本程序通过水平和垂直灰度投影，框选出灰度面部图像中的眼睛区域。(This program is used to locate eye region in gray facial image by means of horizontal and vertical projection.)

opencvsharp检测圆

说明：  合成孔径雷达点目标仿真，线性变标算法（CSA），注释完整，可以直接运行，信号模型参考书目《合成孔径雷达成像算法与实现》。(Synthetic aperture radar point target simulation, linear scaling algorithm (CSA), complete annotations, can be run directly, the signal model reference bibliography "Synthetic aperture radar imaging algorithm and implementation".)

segmentation using region growing in an image

利用matlab提取掌纹图像的感兴趣区域，ROI提取(Extract palmprint images using matlab region of interest, ROI extraction)

c# 一维码生成 实例源码下载

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

显示处理后的BMP图像文件，VC C++ (read the bmp images )