随机过程实验（研一）Random-process-experiments

将图片由RGB格式转化为YCbCr格式下，用椭圆方法判定肤色和非肤色区域，进行二值化处理，最后显示结果(Pictures from RGB format into a YCbCr format, the method used to determine color elliptical and non-color regions, to carry out binarization processing, the final result will be displayed)

QT 使用向导对话框,使用QWizard类实现多窗口切换(QT uses the Wizard dialog box)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)

说明：  机器视觉系统实例--颜色识别系统，matlab实现(Examples of machine vision systems- the color identification system, matlab achieve)

一个去水印的程序，已调好。里边包含实例图片，可以帮助大家理解这个代码。(A program to watermark has a good tune. Inside contains examples of pictures that can help us to understand the code.)

以图像拼接目标为应用背景，对图像处理配准和融合的基本原理及相关算法进行研究；利用matlab对相关配准和融合算法进行实现并优化;并将配准和融合算法应用于图像拼接中（给定某个真实场景的一组局部图像，然后对这一组图像进行拼接，最终形成一个图像拼接系统）。要求配准和融合能单独进行工作，形成独立的程序(The basic principles and algorithms of image registration and fusion are studied with the image stitching target as the application background. MATLAB is used to implement and optimize the related registration and fusion algorithms, and the registration and fusion algorithms are applied to the image mosaics (given a set of local images of a real scene, and then to this group) The image is stitching to form an image mosaic system. Registration and fusion are required to work independently and form separate programs.)

说明：  使用matlab中的nlfilter来进行邻域处理(Using nlfilter in MATLAB to process neighborhood)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

先进行图像的预处理，采用中值滤波，梯度增强。基于边缘帧差法实现前景检测(first image preproceing，the median filtering，grdient enhancement。based on edge detection method of frame to realiase prospect)

飞机的设计和制造一直是与性能优异的材料 联系在一起。20世纪60年代中期以碳纤维为增强体 的复合材料问世，70年代初开始应用于军用飞机 结构，80年代开始应用于民用飞机结构。复合材料 具有比强度高和比刚度高的独特优点，飞机结构 采用复合材料，其重量可相应减少20%~30%[1]。此 外，复合材料还具有可设计性强、疲劳性能好、耐 腐蚀、易于大面积整体成型、维护性好等优点。目 前，复合材料已经成为重要的飞机结构材料。(he design and manufacture of aircraft has been a material with excellent performance Relate. In the mid 1960s, carbon fibers were used as reinforcements The composite material came out and was used in military aircraft in the early 70s The structure began to be applied to civil aircraft structures in 80s. Compound material The aircraft structure has the unique advantages of high specific strength and high specific stiffness The weight of the composites can be reduced by 20%~30%[1] accordingly. this Besides, the composite material has the advantages of good design, good fatigue performance and good resistance to fatigue Corrosion, easy to form a large area, good maintainability and so on. order Before, composite materials have become important aircraft structural materials.)