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MyVideo1.0_AutoCamshift
- 序用MFC+openCV编写。可实现自动获得一个目标选择框并进行跟踪 先用视频前几帧进行帧间差分，用cvFindContours()得到二值差分图像中最大的连通块作为camshift的初始选择框 可能有些压缩格式的视频打不开，需要安装Xvid解码器-Write sequence with MFC+openCV. Automatic target selection box and the interframe difference the first few frames before th
the-detection-of-moving-targets
- 本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。-This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morpho
Frame-difference
- 帧间差分的方法进行目标检测。图片文件也在压缩包内-The inter-frame difference method for target detection. The image files are compressed within
labeling-code
- Read video into MATLAB using aviread and alculate the background image . Initialization for Kalman Filtering. Calculate the difference image to extract pixels with more thanthreshold change. and Plot the tracking rectangle after Kalman filtering
szm
- 读取图像与模板相比较。原理是利用横纵坐标投影的差值的方差大小判断图像差异。可以简单的描述出图像的差异大小。-Read image is compared with the template. Principle is to use the difference between the horizontal and vertical coordinates of the variance of the projection image size determines the difference.
Image-segmentation-code
- Cutpicture(form)做的是直方图统计： 第一步：读入图片，并将彩色图片用公式转化为灰度图像。 第二步：用区域生长法将图片分块并对每一块做直方图统计，用广度优先搜索完成，子程序是int flood_fill()。返回值是区域内的点的数量。判断是否属于同一块区域的条件是前面搜索得到的灰度平均值是否大于给定阈值（即threshold，由用户输入决定）。 第三步：任意两块区域对区域直方图的每个色阶比例的差的绝对值求和，若和小于阈值（即threshold2，由用户输入决定）则合并两
frame-difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用Mat类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using Mat type.
difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
frame-difference(IplImage
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。加入空的工程即可运行。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
second-order-image-pixel
- 图像像素一介差分和二阶差分,原理公式阐述清楚-And second-order ordinary differential image pixel difference, the principle clearly explained the formula
difference
- 图像处理中的差分算法，包括两帧差分、三帧差分，以及一些改进算法。对目标提取，效果很好。-Differential image processing algorithms, including two differential, three differential, as well as some improved algorithm. Extraction of the target, the effect is very good.
Image-Enhancement
- 图像增强，要改善图像的视觉效果，针对给定图像的应用场合，有目的地强调图像的整体或局部特性，将原来不清晰的图像变得清晰或强调某些感兴趣的特征，扩大图像中不同物体特征之间的差别，抑制不感兴趣的特征，使之改善图像质量、丰富信息量，加强图像判读和识别效果，满足某些特殊分析的需要。-Image enhancement, to improve the image of the visual effects, for a given image applications, purposefully empha
image-denoising-
- 图像处理领域，简单实用的图像差值去噪程序算法-Image processing, simple and practical algorithm for image denoising procedures difference
SC-powerful-image-rendering
- Useful tool for rendering and outputting information rich images-This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no
difference
- 该函数程序利用差影法进行对图像的边界检测-The function procedure using differential impact method of image edge detection
Image-segmentatio
- 图像分割的两种有效方法，阈值分割和区域生长。其中，阈值分割适合目标区域与其背景在灰度特性上的差异比较大情况。另外，效果较好的区域生长法可以为大家提供参考-Two effective methods of image segmentation, thresholding and region growing. Among them, thresholding suitable target region and its background in grayscale characteristics
1
- 利用当前帧图像与背景图像对应象素点的灰度差值来检测车辆。如果当前图像的象素点和背景图像的象素点灰度值差别很大，就认为此象素点有车通过；相反，如果当前图像的象素点和背景图像的象素点灰度值差别较小，在一定的阈值范围内，我们就认为此象素点为背景象素点。-Using the current frame image and the background image corresponding to the difference between the pixel gray vehicle is detec
DoG
- MATLAB编写的图像DOG处理程序。处理生成图像的高斯差分图-DOG written in MATLAB image processing program. Image processing for generating the Gaussian difference image
circular-birght-target-detect
- 首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测-Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract imag
MATLAB
- 1、 读取图像A和B，显示这两幅图像，对图像作傅立叶变换，显示频域振幅图像。作傅立叶逆变换，显示图像，看是否与原图像相同。 2、 设计一个简单的巴特沃斯低通滤波器（截止频率自选），对图像A作频域低通滤波， 再作反变换，观察两种不同的截止频率下反变换后的图像与原图像的区别。 3、 设计一个高斯高通滤波器（截止频率自选），对图像B作高频强调滤波，再作反变 换，观察两种不同的截止频率下反变换后的图像与原图像的区别.-1, the read image A and