imageprocessing

利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测(Use opencv+ VC++ to achieve the edge of the image processing to the image detector)

傅里叶梅林变换，图像处理的基本内容，易学易懂(Fu Liye Mellin transform, the basic content of image processing, easy to learn and understand.)

在激光三维测量中，提取每一张图片的激光条纹中心坐标得到激光中心线。(In the laser 3D measurement, the central coordinates of the laser stripe are extracted from each image to obtain the central line of the laser.)

双线性插值图象的旋转源码，程序结合易语言位图操作支持库和图像格式转换支持库，调用API函数和置入汇编代码，实现双线性插值图象的缩放旋转。(Source bilinear interpolation image rotation , combined with easy language program bitmap operations support libraries and image format conversion support library , call the API function and into assembly code , zoom in rotation bilinear interpolation image.)

裁剪以RGB565格式保存的BMP文件，涉及位图掩码内容(imagecut of the BMP picture which saved with RGB565 format and mask)

说明：  各种平滑算法验证，除在matlab中验证外，word文档中也有详细说明(various smoothing algorithm validation, in addition to verify Matlab, word documents also detail)

基于DCT域音频水印完整源代码，包括水印图像的预处理（二维二值图像Arnold变换、混沌加密、降维），水印的嵌入提取以及检测，信噪比和相似性系数。(Based on the the DCT domain audio watermarking complete source code, including the watermark image preprocessing (two-dimensional binary images Arnold transform chaotic encryption, dimensionality reduction), the embedded watermark extraction and detection, signal-to-noise ratio and similarity coefficient.)

特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

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)