wavelet97

用于图像融合的IHS变换方法的比较的相关论文(IHS transform for image fusion method of comparison of the relevant papers)

说明：  经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

基于边缘检测和区域生长的自然彩色图像分割源码(Based on edge detection and region growing source of natural color image segmentation)

4_1：生成模糊化实验图像 4_2：维纳滤波复原 4_3：约束最小二乘滤波复原 4_4：Lucy-Richardson滤波复原 4_5：盲卷积滤波复原(4_1: generate fuzzy images of experimental 4_2: 4_3 restoration Wiener filtering: constrained least squares filtering recovery 4_4: Lucy-Richardson filter recovery 4_5: Blind deconvolution filter to recover)

一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

说明：  在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)

一个很强大的图形计算处理软件，包括图像聚类，矩阵计算等(Scotch is a software package for graph and mesh/hypergraph partitioning, graph clustering, and sparse matrix ordering )

稀疏矩阵字典的优化KSVD，本人已进行测试，效果甚佳,可以用在图像，数据的压缩和分类(Sparse dictionary optimization KSVD, I have been tested, very good results)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

卡尔曼滤波在目标跟踪中应用仿真研究 简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。(Kalman filter target tracking simulation study brief discussion of the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to evaluate the effect of the experimental.)