搜索资源列表
houghForest
- 这个是Dr. Juergan Gall写的检测识别图片中的物体，有关的文章名字是Class-specific Hough Forests for Object detection. hough森林方法结合了随机森林和Hough选票去估计物体中心的可能。-A method for the detection of instances of an object class.A class-specific Hough forest is a random forest that maps image
camshiftdemo
- Gary R．Bradski提出CamShift算法，即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法，可以有效地解决目标变形和部分遮挡的问题，而且运算效率很高。在视频跟踪过程中，CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图，并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小，得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm,
histogram_balltracker
- A new concept of tracking ball has been applied of detecting the ball in one frame by finding centroid ball ,finding histogram of the ball region and correlating it with candidate s histogram (by scanning the complete image) in subsequent frames. Mat
mySnake-2
- 基于动态轮廓模型的虹膜定位.在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位
A-NOVEL-SKIN-YCBCR-COLOR-SPACE
- This paper presents a new human skin color model in YCbCr color space and its application to human face detection. Skin colors are modeled by a set of three Gaussian clusters, each of which is characterized by a centroid and a covariance matr
zhixinfa
- 灰度质心法提取图像圆点中心坐标程序源代码-Extracted gray-scale image centroid coordinates of the dot center of the source code
module-1
- ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
FeatureExtractionNode
- Application that extracts features from segments, retrieved from microscope cell images. Each segment represents one cell. Feature vector consists of following features: - cell s area - cell s centroid - cell s weighted centroid - cell s conv
opencv_
- 很好的质心算法，求图像的运动轨迹，用opencv实现的 -Centroid algorithm, find the image of the trajectory with opencv
435234paper
- 从边检测边跟踪的角度探讨了图象序列中机动目标的形心跟踪问题,深入分析了强高斯噪声背景下目标形心估计的统计性质及用于形心估计的图象预处理方法。-Explored from the perspective of the side edge-detection tracking the centroid tracking of maneuvering targets in the image sequence, in-depth analysis of the statistical properti
rezult
- 对图像进行前期去噪，二值，开闭运算处理。然后对矩形进行外接矩形操作。内附图片-process the image,include of filting,invert to binary image，indilate .use function minboundrect to get the result,draw rectangle and it s centroid.
jiguangdaizhongxinxian
- 三维扫描图像光带中心线提取的FPGA实现.pdf，式实现了三维扫描图像光带中心线提取的梯度质心算法。-FPGA Implementation of 3D scanned image with light centerline extraction pdf, type gradient centroid algorithm to achieve a three-dimensional scan image light with centerline extraction.
3D-utility
- 三维 图像缩放，高斯平滑，求质心 matlab 源码 可以用来对三维volume进行缩放，高斯平滑，求质心-3D image scaling, Gaussian smoothing, seeking centroid matlab source code can be used to zoom 3D volume, Gaussian smoothing, find the center of mass
signature
- 对一幅二维图像的给定的边界提取其相应的信息，如其质心等信息-The given boundary of a two-dimensional image to extract the appropriate information, such as if the centroid information
centroid--extraction
- 本程序是用于进行二值图像的质心快速提取，快速有效-This code is used for centroid extraction of binary image
Code
- 利用彩色图像的处理方法和数学形态学方法，编程计算荔枝果实的质心点的图像坐标-The use of color image processing method and mathematical morphology, image coordinates programmed to calculate the centroid of litchi fruit points
centrum
- Image processing algorithm. Find the centroid of object. Working with binary image.
tnn7_code_201212141110
- 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
基于opencv的质心算法
- C++语言，用于图像处理，求解图片的质心，二维定位，(For image processing, the centroid of the image is solved, two-dimensional location)
Desktop
- 求图像中某一区域的质心 读入图像 求二值化的阈值 显示二值化图像 标注二进制图像中已连接的部分 用于记录质心位置的坐标 求质心(centroid Seeking the centroid of a region in the image Read into the image Two valued thresholds display two valued images Tagging the connected parts of a binary image Coordi