matlab

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

用分裂bregman方法解决图像模糊的matlab算法，很经典，大家可以参考一下(Split bregman method to solve the image blurring Matlab algorithm, it is classic, and we can refer to)

indexation suit tuto of indexation for images

说明：  使用matlab识别干涉条纹。通过形态学处理，识别干涉条纹数，并计算出条纹间距。内包含交互界面。(The interference fringes are identified by matlab. Through morphological processing, the number of interference fringes is identified and the fringe spacing is calculated. It contains an interactive interface.)

本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

Add watermark to image The program provide the interface to the user that the watermark can be easily added to the image

一种新型的基于Tucker张量分解的高光谱图像降噪算法，性能优于传统的维纳滤波(a novel method based on Tucker decomposition for HSI denoising)

国防科技大学博士周晓光论文-极化SAR图像分类方法研究(Research on polarization SAR image classification method by Dr. Zhou Xiaoguang of National University of Defense Technology)

：介绍了一种基于小波变换的图像融合算法，它利用像素邻域平均梯度作为选择依据，对小 波变换后的高频系数进行选择，再逆变换完成图像融合．通过对红外热图与可见光图像的融合实验表明： 基于小波系数区域平均梯度的融合能使红外热图更加清晰，融合的图像光谱变异性较小，图像效果较好(: This paper presents a wavelet-based image fusion algorithm, which uses an average gradient of pixel neighborhood as selected on the basis of high frequency coefficients of wavelet transform to choose, and then inverse transform of image fusion. Through the infrared image and visible image fusion experiments show that: Based on the average gradient of wavelet coefficients of the regional integration of thermal infrared images can be more clarity, variability in integrated spectrum of images smaller, better image)