CS_ROMP

说明：  一、课题介绍 本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。 二、算法流程 结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。 三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.)

在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数(In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters)

说明：  图像融合是图像处理的一个研究热点，这里提供一种方法即局部能量最大选取规则图像融合法(Image fusion is image processing of a research hot spot that is here to provide a way to select the rules of the local energy of the largest image fusion method)

说明：  程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (some imageprocessing sourcecode)

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

李春明 Distance Regularized Level Set Evolution and Its Application to Image Segmentation对应的分割 程序(Corresponding segmentation procedures by the the Chunming Distance Regularized the Level Set Evolution and Its Application to the Image Segmentation.)

c#取取图像，并处理和显示结果。HALCON,.(c# Take proper image, and the processing and display of results. HALCON ,.)

评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)

本文针对目前图像特效处理的需求，主要研究几种基本的数字图像处理算法，以达到人们所期待得到的各种不同的效果。并在基于Windows系统的Visual C++6.0集成开发环境下，生成BMP位图文件并对其进行读取，使用VC编码实现这些算法。编写程序在BMP位图文件中画出各种图像，例如：三角型，圆，正弦函数图。在点运算处理中介绍了灰度化处理，算法设计原理是将输入像素点的灰度值通过算法实现改变其相应输出点的灰度值。在图像增强中，介绍了图形的平滑和图像的锐化算法，其算法的设计原理是根据一个固定小区域的几个像素灰度值设置某个像素的灰度值，通常有其固定模板。 本文具体给出了这些算法的设计思想及算法描述，并通过程序实现。最后将其效果图与原始图像进行了比较。 (In this paper, the image effects to deal with the current demand for basic research in several digital image processing algorithms in order to achieve what people expect different result. And Windows-based system, Visual C++6.0 integrated development environment to generate BMP bitmap file and read them using VC coding to implement these algorithms. Write a program to draw a variety of graphics in BMP bitmap file, example: triangle, circle, sine function diagram. Point arithmetic processing grayscale processing, algorithm design principle is the value of the input pixel gray value of the corresponding output point algorithm change. Enhancement of the image on the smooth graphics and image sharpening algorithm. The design principle of the algorithm is based on a fixed number of small regions of a pixel value of gray-scale pixel value, usually a fixed template. In this paper, given the specific design of these algorithms and the algorithm description, and program . Finally, the effect o)

说明：  高斯尺度差角点检测算法 将轮廓曲线在不同尺度下的演化差异的变化量作为角点响应函数并提出相应的 DoG 检测算子(Gauss scale difference corner detection algorithm)