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Description: 统计特征提取的小程序,带有一个测试图象,提取的特征为质心\\面积\\欧拉数\\X轴和Y轴投影-statistical feature extraction small program with a test image, Feature Extraction for Centroid \\ area \\ Euler number \\ X-axis and Y-axis
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Size: 61324 |
Author: fun |
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Description: Binary image processing. CALCULATES CENTROID OF BINARY IMAGE. C code.-Binary image processing. CALCULATES CENT BINARY IMAGE OF ROID. C code.
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Size: 1525 |
Author: selamicik |
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Description: 统计特征提取的小程序,带有一个测试图象,提取的特征为质心\面积\欧拉数\X轴和Y轴投影-statistical feature extraction small program with a test image, Feature Extraction for Centroid \ area \ Euler number \ X-axis and Y-axis
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Size: 61440 |
Author: fun |
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Description: dm642上实现运动目标检测与跟踪，使用了矩持法，基于梯度的图像分割，匹配跟踪，形心跟踪等算法。-DM642 realize the moving target detection and tracking, using the moment持法, gradient-based image segmentation, matching tracking, centroid tracking algorithm.
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Size: 659456 |
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Description: 二值目标图象质心的计算 二值目标图象质心的计算-Second, the value of the target image centroid calculation of the target binary image centroid calculation
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Size: 130048 |
Author: 王凉 |
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Description: 一种图像质心的 改进方法，可用于图像水印的归一化变换方法中-An image centroid method can be used to image watermarking normalized transform method
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Size: 1024 |
Author: 韩宁 |
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Description: In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector. - In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector.
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Size: 199680 |
Author: prasad |
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Description: Set of functions to calculate the centroid, central moments and normalised moments of a binary image. Easy to understand, implemented in matlab
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Size: 1024 |
Author: sdqali |
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Description: 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置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Digital image of the iris in the location of the effective positioning of the key issues of iris recognition. With a model based on the active contour method of positioning the location of the iris, the first gray projection method used to detect the pupil as the point of the pseudo-pupil center, the center of a circle as long as it can fall within the pupil. And then to the pseudo-center as the center, in terms of their spacing around the N points to get the snake as the initial reference point, the operating mechanism in accordance with the snake continued to evolve until the border until the inner iris. Finally, after calculating the evolution of snake and snake-shaped heart of the control point on the centroid distance, choose the average as the radius of the pupil, the dynamic contour model of the centroid as the center of pupil can be an accurate positioning within the borders of the iris position. The experimental results show that the position with common methods, the methods o
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Size: 1764352 |
Author: 侯汶杉 |
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Description: Segmentation of Image using k-Means based on centroid values
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Size: 366592 |
Author: Singam |
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Description: 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. Matching of histogram indicates presence of ball ,hence tracks it.
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Size: 2048 |
Author: Vishwanath |
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Description: tracker.m
Continuously keeps taking snap in real time and sending to function isub for tracking
isub.m
It is a function which takes two consequent frames, subtracts them(background gets subtracted), converts the
resulting image into binary, finds the centroid of largest area of connected pixels and marks it(tracks it)
The code has been tested in MATLAB 7.6
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Size: 2048 |
Author: Vishwanath |
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Description: 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置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Iris contour model based on dynamic positioning. In the digital image in the position of the iris iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. And then the pseudo-center of a circle centered around the angle of its N-point interval to take the snake as the initial reference point, in accordance with operating mechanism evolving snake, until the iris until the inner boundary. Finally, the calculation of the evolution of the snake-shaped after the heart and snake on the control point with the centroid distance, whichever is the average radius of the pupil as a dynamic contour model of the centroid as the center of the pupil can accurately locate out of the iris inner boundary position. Experiments show that, com
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Size: 287744 |
Author: 318 |
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Description: Image processing algorithm. Find the centroid of object. Working with binary image.
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Size: 3072 |
Author: domino |
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Description: to search centroid from image
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Size: 399360 |
Author: jediel |
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Description: 已知一图像的轮廓，计算该轮廓质心，并标注在图上-A known the outline of image, the contour centroid calculation, and marked on the map
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Size: 1024 |
Author: 梦之碟 |
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Description: centroid方法定位图像中心，自动截取图像目标区域-centroid method to locate the center of the image, automatic interception image target area
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Size: 1024 |
Author: 小丸子 |
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Description: 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
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Size: 7168 |
Author: 谢小毛 |
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Description: 2016年中国图像图形学报 求质心的快速算法 免滤波 直接可以求得质心的位置 附带 matlab源代码-In 2016 the Chinese image and graphics Journal of the fast algorithm for the centroid of the fast algorithm can be obtained directly the center of the location of the matlab source code!!
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Size: 172032 |
Author: 费非 |
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Description: Compute centroid of the image and display its location
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Size: 716800 |
Author: Kusuma
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