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opencv249SIFT

于 2015-07-13 发布 文件大小:1343KB
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代码说明:

  opencv SIFT源码详细分析,代码能够准确实现(opencv SIFT detailed analysis of the source code can achieve accurate)

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    1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点(若要进行下一步匹配则不建议显示,这里只是用于查看是否提取出)4.相关系数匹配(只在找出的同名点内匹配)5.LSM最小二乘匹配(先进行粗匹配,再精匹配)(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))
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    积分:1
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    2013-08-26 22:03:24下载
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    在图像的DCT系数上嵌入信息,图像为常见的512*512大小的灰度图(实验所用图像为LENA.BMP)。嵌入的信息为一二进制Logo图(实验所用logo图为tj-logo.bmp),该图大小为32*32,共1024个Bit。 1. 在LENA图中嵌入水印,输出嵌入后的水印图像。 2. 对水印图像解码,输出解码后得到的logo图,并统计错误率。 3. 使用不同的嵌入强度进行嵌入,观察其对作品直觉效果和解码效果的影响,绘制相应的曲线。 4. 使用加入噪声、改变对比度、JPEG压缩等攻击方法对水印作品进行攻击,查看解码的效果。 (Information embedded in the DCT coefficients of the image, the image of the common 512* 512 size gray-scale (experimental image LENA.BMP). Information embedded in a binary Logo Figure (used in the experiment logo picture shows the tj-logo.bmp), the plot size 32* 32, 1024 Bit. LENA Figure embedded watermark, the watermark image output embedded. (2) logo watermark image decoding, the output decoded Figure statistical error rate. (3) using a different embedding strength for embedding, observe the works intuitive effects and decoding results, and draw the corresponding curve. (4) by adding the noise, change the contrast, JPEG compression attack methods to attack, to see the effect of decoding the watermark works.)
    2012-04-16 18:56:11下载
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    2011-07-08 16:00:48下载
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    2012-07-11 11:01:10下载
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    2013-10-23 21:26:50下载
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