superresolution_v_2[1].0

利用回转窑生产氧化铝的工艺中，提出了一种新的基于SVR（支持向量回归）的烧成带温度软测量方法。即首先对从回转窑采集到的烧结图像进行预处理，消除噪声的干扰；然后利用大津方法分割出物料区和火焰区，并提取这些区域的图像特征；其次利用基于SVR方法建立的烧成带温度模型计算温度值；参数计算.(The use of alumina rotary kiln production process, a new-based SVR (support vector regression) of the burning zone temperature soft measurement method. That is first collected from the rotary kiln sintering image pre-processing to eliminate noise interference Otsu method and then use the materials division of the district and flame zones, and extraction of image features in these regions SVR-based method followed by the establishment of the burning zone temperature model temperature parameters.)

数字图像处理matlab工具箱，包含彩色图像分割，RGB分量提取等基本源程序(Digital image processing toolbox matlab)

就用利用OPENCV亚像素级角点检测，这个方法对于初学代码程序的人来说很实用(On the use of the use of sub-pixel OPENCV corner detection, this method code program for the beginner who is very practical)

二值图像处理运算是从数学形态学下的集合论方法发展起来的,尽管它的基本运算很简单，但是却可以产生复杂的效果。常用的二值图像处理操作有许多方法，如腐蚀、膨胀、细化、开运算和闭运算等等。本文对这些内容作些研究探讨， 希望对爱好图像处理的朋友有所帮助。(Binary image processing algorithms are developed set theory in mathematical morphology. Although its basic operation is simple, it can produce complex effects. Commonly used binary image processing operations there are many ways, such as corrosion, expansion, refinement, open operation and closed operation and so on. In this paper, some of these studies to explore, I hope to love image processing friends help.)

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好(Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better)

说明：  图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)

特征提取中利用小波边缘检测C++源码，希望对大家有用，而且偶也能下载程序了，(feature extraction using wavelet edge detection C source code, we hope to useful, but can even download, Ha ha)

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)

通过matlab实现jpeg图像压缩编码。(To realise jpeg coding.)

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)