matlab-hundun

matlab图像彩色处理，主要有三基色的调用，调整，以及图像的伪彩色增强(matlab image color processing, there are three primary colors of the calls, adjustments, and pseudo-color image enhancement)

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

采用matlab平台实现常见的神经网络算法，实现聚类和分类功能(Neural network)

meta biomarker code matlab for feature s selection uses filer methods Relief and mrmr with svm and knn like classifier for validation

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

matlab版本的特征生成的SIFT算法(SIFT algorithm, matlab version)

本人在硕士毕业论文时使用的和修改的代码，主要是用于使用LDS和NLDS模型对火焰视频进行建模，并可以模拟出来火焰来，同时使用LDS和NLDS模型参数对不同类型视频进行分类（我们主要是对识别火焰），里面有实验结果。(I used in the Master s Thesis and modify the code, mainly for LDS and NLDS model modeling the flame video, and can be simulated flame using both LDS and NLDS model parameters to classify the different types of video (we mainly on identification flame), there are experimental results.)

用户提供样本数据后，对样本数据做c均值frm聚类分析。(c均值聚类)

Software package for fuzzy calculus

Calculo de la derivada e integral