搜索资源列表
xp
- 背景差分法 运动目标的检测 获取二值图像 二值图像的腐蚀与膨胀处理-the background difference
OTSU1
- 。图像分割算法中最大类间方差法(OTSU)实现图像二值化,可以将图像分为目标类和背景类，便于后续处理。-. Image segmentation algorithm Otsu method (OTSU) for image binarization, image can be divided into the target class and background class, easy to subsequent processing.
ZUIXIAOWAIQIEJUXING
- 计算一个图形的最小外切矩形，先将图像二值化，提取目标，再求取外切矩形-Calculating a minimum circumscribed rectangle graphic, first image binarization, extract the target, and then calculate the bounding rectangle
BWLabel
- 一种二值图像连通区域标记方法，能用于目标跟踪，我已经应用过，效果不错。-It is a new connected componet labeling algorithm for binary image,and can be used in object tracking. It is effective to be proved.
Camara_ctrl
- qt平台 OPENCV实现背景差分法的目标跟踪，可以设置阈值调节搜索框和二值化背景，初学目标跟踪必学的算法-qt platform OPENCV achieve background difference method for target tracking, you can set the threshold adjustment search box and two values of the background, beginners will learn th
hough
- 实现霍夫变换，进行圆周滤波，二值化后进行木匾检测，并将目标通过矩形框显示-Realize the hough transform, circular filtering, binarization after detection of wooden plaque, and will target through rectangular box shows
boundary_trace
- 将光学图像二值化处理变成黑白图像后，将其中的目标的边缘提取出来的一种方法-a target edge extraction method in optics picture
28541
- Hough变换时一种检测、定位直线和解析曲线的有效方法。他是把二值图变换到Hough参数空间，在参数空间用极值点的检测来完成目标检测-Hough transform of a test line positioning and effective way to resolve curve. He is the binary image to the Hough transform parameter space, parameter space used in the detection of
driver
- 自己编写的 SEED-DEC643 滤波、二值化、目标识别代码-I have written SEED-DEC643 filtering, binarization, object identification code
tiebiaoqian
- 贴标签算法。将二值图像中的黑色区域为目标物。白色区域为背景。算法对黑色部分贴上标签。大家可拿去借鉴。-Labeling algorithms. The binary image of the black area labeled number. The white area is the background.
OpencvUIDlg
- 此程序包括摄像机标定与校正，视频图像的运动目标检测，图像的预处理，二值化，图像的轮廓检测，角点检测等功能。-This procedure includes calibration and correction, video images of moving target detection, image preprocessing, binarization, image contour detection, corner detection and other functions.
opencv
- 迭代法进行阈值分割，使其分割为目标背景为黑白的二值图像-Threshold segmentation iterative method
quedingyuanxianmubiao
- 读取图并转化为二值图像；寻找图像中的目标边界；确定图像中的圆形目标。本程序注释易懂，简单实现。-FIG read and converted to binary image for image boundary of the object the circular target image is determined. The program notes easy to understand, simple to achieve.
huidushuxingceliang
- 灰度图像的属性计算：利用bwlabel和regionprops函数对度量二值图像中目标对象的属性。-Attribute gray image: Using bwlabel and regionprops function measure binary image of the target object attributes.
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
zhenchajianfa
- 基于帧间差分法的静态背景下目标的识别与追踪，源码包括视频的读取与回放以及二值化后的图像处理。-Based on the identification and tracking under static background frame difference method goals, including the source and playback of video and read the binarized image processing.
background-model8
- ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M
tuxiangfenge
- 对小目标，高噪声情况下的图像二值化分割，将中心小圆点留下，周围部分为黑色，同时滤除噪声-Binary image small target, high noise situations segmentation, leaving the center of the small dots around the black part, and filter out the noise
sanzhenchafen
- 三帧差分算法是相邻两帧差分算法的一种改进方法，它选取连续三帧视频图像进行差分运算，消除由于运动而显露背景影响，从而提取精确的运动目标轮廓信息。该算法的基本原理是是先选取视频图像序列中连续三帧图像 并分别计算相邻两帧的差分图像，然后将差分图像通过选取适当的阈值进行二值化处理，得到二值化图像，最后在每一个像素点得到的二值图像进行逻辑与运算，获取共同部分，从而获得运动目标的轮廓信息。-Three differential algorithm is an improved method of two
FixNumHole
- 表面瑕疵检测，并进行统计。形态学处理，二值化分割，标注并统计目标。-Surface defect detection, and statistics. Morphological processing, binary segmentation, annotation and statistical targets.