ALOHA-Matlab

对自适应双边滤波进行图像增强，使图像去噪效果更好(Adaptive bilateral filtering for image enhancement, image denoising effect is better)

对加载的图像进行灰度处理，简单处理matlab程序，效果不错，利于后面对图形进一步加工处理(Gray-scale processing of loaded images)

模拟闪变仪，用于检测电压波动与闪变，满足IEC推荐的平方检测法。(Analog Flickermeter for detecting a voltage fluctuation and flicker, meet IEC square detection method recommended.)

实现对图像进行二维小波变换，实现图像压缩，并实现图像的压缩传感(Image wavelet transform, to achieve the two-dimensional image wavelet transform for image compression, and compressed sensing to achieve)

这个matlab程序是基于纹理的图像检索源码，纹理特征是图像的基本特征特征之一，所以基于纹理的图像检索是图像处理的热点。(The matlab program is based on the source texture image retrieval, texture image is characterized by one of the characteristics of the basic features, so texture-based image retrieval is a hot image processing.)

将DICOM文件转换为BMP文件和将BMP文件转换为DICOM文件(to DICOM conversion of BMP files and BMP file will be converted to DICOM documents)

直方图均衡（HE），自适应直方图均衡（AHE），限制对比度的直方图均衡（CLAHE）的图像处理算法，运行无错误，效果还不错。包含循行结果对比。(Histogram equalization (HE), adaptive histogram equalization (AHE), and contrast-limited histogram equalization (CLAHE) image processing algorithm run without error, and the effect is good. Include line-by-line results comparison.)

用DWT实现二维小波变换,调原始图像矩阵后进行二维小波分解，重构源图像及结果显示(Wavelet transform in 2-D dimentation)

python写的图像相似度算法。比较图像相似度，选出最相思的图片(python write the image similarity algorithm. Compare image similarity, image to select the most Acacia)

讨论了OpenCV(Open Source Computer Vision Library)相对于现有的计算机视觉软件包所具有的优势，描述了OpenCV的 环境配置、数据定义、图像元素访问方式。OpenCV成为一种源码开放、包含丰富的高级数学计算函数、图像处理函数和计算机视觉 函数、不断更新和平台无关性的计算机视觉软件包。(Discussed the OpenCV (Open Source Computer Vision Library) relative to the existing computer vision, the advantages of packages, description of OpenCV environment configuration, data definition, the image element access mode. OpenCV become an open-source, contains a wealth of advanced mathematical calculations, functions, image processing functions, and computer vision functions, continuously updated, and platform-independent package of computer vision.)