IQA评估指标

【高斯核函数改进 参考价值1】LBF活动轮廓模型的改进.pdf【高斯核函数的改进 参考价值5】单核和多核相关向量机的比较研究.pdf([Gaussian kernel improved reference value 1] .pdf LBF improved active contour models comparative study [.pdf Gaussian kernel improvements reference 5] single and multi-core related vector machine)

实现了图像的灰度化并进一步用于视频监视控，一些自适应信号处理的算法，计算加权加速度。( Achieve a grayscale image and further control for video surveillance, Some adaptive signal processing algorithms, Weighted acceleration.)

按照指定分隔符将已知字符串分割成个部分，并以cell存储(In accordance with the specified separator known string divided into parts, and cell storage)

Criminisi算法修复彩色图像，详细的程序，可以直接运行。(Criminisi algorithm for RGB images )

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

特征提取是图像配准的重要步骤，使用Harris角点检测算法实现图像拼接。(Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.)

主成分分析程序包，包括主成分分析和独立主成分分析两个程序源代码。(Principal component analysis package, including principal component analysis principal component analysis and independent source code for both procedures.)

该源代码包含图像10个不变矩的图像检索，小波模极大值法边缘检测，结合颜色特征与不变矩的图像检索源程序(The source code includes images of invariant moments 10 image retrieval, wavelet modulus maximum edge detection method, combining color characteristics and the moment invariants image retrieval source program)

matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI(matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M)

彗星窗口水印源码例程程序结合易语言模块彗星窗口水印.ec，实现窗口水印效果。(Comets window watermark source program combines easy language module routines comet window watermark .ec, achieve window watermark effect.)