paticle_filter

说明：  用MATLAB实现不规则图像的面积测量，采用像素灰度值的占比进行实现(Area Measurement of Irregular Images Using MATLAB)

说明：  非常好的图像处理全面软件，包括滤波等基本操作(Very good overall image processing software, including basic operations such as filtering)

说明：  水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

说明：  VC++6.0图像处理算法集:图象的几何变换、平滑(去噪声)、锐化、腐蚀、膨胀、细化算法、半影调、抖动、直方图修正、彩色变换、腐蚀，膨胀，细化等算法，并有可执行文件供试用，并附有配套电子收，是图像处理入门的好资料。(VC++ 6.0 image processing algorithms: image geometric transformation, smoothing (to noise), sharpening, corrosion, expansion, thinning algorithm, penumbral tune jitter histogram of the amendment, color conversion, corrosion, swelling, refinement algorithm, etc., as well as executable files for trial, together with supporting electronic collection, image processing is a good data entry.)

Gabor滤波器的实现函数，与一般网上下载的不同，滤波效果更好，易于提取图像特征(Gabor filter implementation function, and general downloading different, better filtering, easy to extract image features)

itti算法进行感兴趣区域的选择，方法较好，可以直接运行。(itti algorithm select the region of interest ,and this program can run directly)

高光谱图像的分类，适合各种光谱数据或者RGB图像。只需要调整输出路径就好了。(Hyperspectral image classification, for a variety of spectral data or RGB images. Only you need to adjust the output path just fine.)

读入人脸图像，根据图像的水平，垂直灰度积分情况，将人眼范围取出，背景可以较复杂。(Reading into the human face image, according to the image of horizontal, vertical gray points, which will remove the scope of the human eye, the background can be more complicated.)

Zernike矩用MATLAB代码实现,希望对Zernike矩的朋友有所帮助。(Zernike moments code under MATLAB)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)