zernike

视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)

图像边缘检测,运用各种算子,压缩包中保存了各种算子算法后的效果图(MATLAB Image corrosion expansion, not the kind of statement directly)

本人搜集的Ostu图像二值化的算法，是在MATLAB环境下写的，不过上传的代码是文本格式的，各位可以根据自己需要参照一下(I collect images of two gray value of the algorithm is to write MATLAB environment, But the code is uploaded to the text format, you may need to refer to themselves)

说明：  使用matlab实现脑磁共振图像的海马体分割(Using MATLAB to segment the hippocampus of brain MR images)

说明：  统一化LBP算子，作为一种有效的纹理描述算子，对图像局部纹理特征有卓越的描述能力，有很强的分类能力、较高的计算效率，并且对单调的灰度变化具有不变性。(Unified LBP operator, as an effective texture description operator, the local texture features for image description is outstanding ability, strong classification ability, higher efficiency, and to the monotonous gray scale invariant .)

矩形检测：用霍夫直线检测方法来对图像中的矩形进行检测。开发环境：vc6，需要安装OpenCV。OpenCV只是用来读取和显示图像等简单操作。(Rectangle detection: Hough line detection method using the image of the rectangle to test. Development Environment: vc6, need to install OpenCV. OpenCV is used to read and display images such as simple operation.)

实现形态学的腐蚀，扩张，开，闭及击中击不中变换(Realize the morphology of corrosion, expansion, open and close and hit-miss transform)

以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测(The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection)

用c#和emgucv实现了1.显示图像的直方图，2.直方图均衡化，3.中值滤波，4.sobel算子，roberts算子和Prewitt算子的边缘提取。各算法均自己实现不是调用函数。但是读图片的信息是用的emgucv。希望和同样刚接触emgucv的同学共同进步(With c# and emgucv achieve a 1 shows a histogram of the image, 2. Histogram equalization, 3 median filter, 4.sobel operator, edge roberts operator and Prewitt operator extraction. Various algorithms to achieve their own instead of calling a function. But reading the image information is used emgucv. The same hopes and common progress of students new to emgucv)

利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)