搜索资源列表
DM643Imagematch
- 基于DM643平台的图像采集和帧差图像匹配。-Based on the matching of the the DM643 platform image acquisition and frame difference image.
3
- 输入： 自拍两幅同一个场景(或物体)的角度/远近有差别的图像 （对于学有余力的同学，建议多测试几张角度/远近差别较大的图像） 任务： 在每张图像中检测特征点位置并将匹配画出匹配得最好的10-20对特征点 输出要求（以下三个结果分别输出，不要重叠在一张图上）： 1. 在两张图上分别画出检测到的特征点位置 2. 对匹配得最好的10-20对特征点：每对特征点对用连接线画出 3. 用椭圆形式在图上画出上述每个特征点的描述子方向与尺度等信息 编程工具： Visual
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
Image-segmentation-method
- 对图像分割方法进行描述，对各种分割方法进行总结讲解，讲解区别特点-Described method for image segmentation, segmentation methods to summarize the various explanations, to explain the difference between features
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
Image-Splicing
- Splicing operation may introduce inconsistencies in organized as follows. In Section 2, we introduce scene illumination estimation methods. In Section 3, the proposed method based on illumination inconsistency is introduced. Section 4 present
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