SIF

图像分割关系到目标识别的精度，是目标检测的关键一步，其中提供了一些图像分割的代码，主要为otsu算法的分割方法，很实用(s related to the accuracy of target recognition, image segmentation is a critical step in target detection, provides some image segmentation code, very useful)

对彩色和灰度图像双边滤波 保持边缘并滤除噪声(Of color and grayscale images and to filter out the edge of the bilateral filter to keep noise)

说明：  基于gabor和chirp原子的匹配追踪算法论文简介！共同进步 又更多需要可以加610521482！(Comparing gaussian and chirplet dictionary.Matching pursuit method!)

基于深度学习的图像超分辨率算法。 参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) (Super resolution based on deep learning Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014))

说明：  对火焰图像的特征进行提取，如火焰闪烁频率、火焰区域面积，火焰燃烧区域裁剪等( the Feature Extraction of flame )

最佳拼接线方法进行图像拼接，对学习图像拼接很有用处(The best method of splicing line image mosaic, image stitching is useful for learning)

噪声环境下的信号检测算法及matlab算法，高斯环境下，门限检测(Signal detection algorithm in noisy environments and matlab algorithm, Gaussian environment, the threshold detector)

提取一幅图像的LBP特征，输入为一幅图片，输出为一个256维的行向量，代表图像的LBP特征。(The LBP feature of an image is extracted, and input is a picture. The output is a 256 dimensional row vector, representing the LBP characteristic of the image.)

从眼动仪提取数据，根据高斯核函数得到感兴趣区域(Extract data from the eye tracker, based on the Gaussian kernel function to get the area of ​ ​ interest)

说明：  用matlab编写的基于内容的图像检索源代码。(Matlab prepared with content-based image retrieval source code.)