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VC计算机图形学原理及算法教程 VC计算机图形学入门教程(VC theory and algorithms of computer graphics computer graphics tutorial Tutorial VC)

实现了20000*20000以上的大tiff格式遥感图像的读写和显示，用于遥感图像处理(Achieve a 20,000* 20,000 or more large remote sensing image tiff format to read and write and display for remote sensing image processing)

说明：  准确检测图像中的高光区域，并对检测出的高光区域的高光进行去除(Detect highlights, remove highlights)

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

自己编的利用FreeImage库分割图像的程序,可以将一个图片分成5个不同区域的图片,主要用于壁纸分割.(Own use FreeImage library image segmentation procedure, a picture can be divided into five different regions of the picture, the main partition for wallpaper.)

图像拼接算法中尺度不变特征转换（sift）源码。经过本人测试修改完全可用，对matlab还不怎么熟练的新手有很大帮助。(Image mosaic algorithm scale invariant feature transform (sift) source. After I test change is totally available, not on how skilled novice matlab great help.)

Itti的经典视觉显著性模型的matlab代码，可以直接运行，验证过后就可以下载了。(Itti vision matlab codes)

高斯滤波是一种线性平滑滤波，适用于消除高斯噪声，广泛应用于图像处理的减噪过程。通俗的讲，高斯滤波就是对整幅图像进行加权平均的过程，每一个像素点的值，都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是：用一个模板（或称卷积、掩模）扫描图像中的每一个像素，用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。(Gaussian smoothing filter is a linear filter for the elimination of Gaussian noise, the noise reduction process is widely used in image processing. Popular speaking, a Gaussian filter to the whole image is a weighted average of the process, the value of each pixel, both by itself and other neighborhood pixel values obtained after weighted average. The specific operation Gaussian filter is: a template (or a convolution mask) to scan each pixel in the image, a weighted average gray value of the neighborhood is determined using a template to replace the pixel value of the center pixel of the template.)

此程序为区域增长经典算法，程序后面有详细注释(This procedure is a classical algorithmfor the regional growth,the procedure followed in detail the Notes)

java语言开发 二维码的生成与解析