搜索资源列表
Binarization-transformation
- 一幅图像包括目标物体、背景还有噪声，要想从多值 二值化 的数字图像中直接提取出目标物体，最常用的方法就是设定一个阈值T，用T将图像的数据分成两部分：大于T的像素群和小于T的像素群。-An image including the target object, the background, as well as noise, in order to be extracted directly from the multi-value binarized digital image of the
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
lunkuogenzong
- 4方向的轮廓跟踪，用于提取二值化后的目标-4 the direction of the contour tracing for extraction binarized target
1GHY3249HSV
- 基于HSV颜色空间的目标检测，先阈值化实现初步分割，再二值化H通道，阈值不同结果会有差异。最后进行噪声去除。 -Target detection based on the HSV color space, the first threshold value of the initial segmentation, and then binarized H channel, there is a difference between the different results of the t
rectangular-in-multi-goal-picture
- 将含多个目标的图像减去背景图，再将所得图进行阈值化处理得二值图像，再对二值图像进行标记，然后跟含多个目标的图像进行处理，对这个图像进行多目标标记-Containing a plurality of target image by subtracting a background image, and the resulting graph threshold processing binary image to be marked, then the binary image, and then
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