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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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活动轮廓方法 检测边缘,可以很好的检测到边缘位置-Active contour method of edge detection can be a very good position to detect the edge
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运动目标轮廓跟踪代码,运用OPENCV实现,效果还不错-Moving object contour tracking code, the use of OPENCV implementation, results were pretty good
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用MATLAB编写的主动轮廓提取算法,该算法能对图像中的目标轮廓进行高效检测-Written by MATLAB active contour extraction algorithm that can image the efficient detection of object contour
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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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此代码包含了图像获取,图像增强,图像复原,正交变换,压缩编码,图像配准,运动检测,特征提取,图像分割及识别的功能-This code includes the image acquisition, image enhancement, image restoration, orthogonal transform, compression, image registration, motion detection, feature extraction, image segmentation a
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This program proveides a solution by Ghassan Hamarneh for detection curves using ACTIVE CONTOUR MODELS
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Active contour models, deformable surface models,
edge detection, gradient vector flow, image segmentation,
shape representation and recovery, snakes.-Active contour models, deformable surface models, edge detection, gradient vector flow, image s
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这个Matlab程序实现一个基于活动轮廓的边缘检测,而不进行重新初始化。-The Matlab program of active contour based on edge detection, rather than re-initialization.
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a code for method for segmentation using the detection of active contour Level set
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snake 模型的MATLAB算法。可用于图形轮廓识别等图像处理方面的领域。-active contour model developed by others.It can be used in line detection and motion tracking.If someone wants to use it,please get in tough with the developer.
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人脸检测的研究具有重要的学术价值,人脸是一类具有相当复杂的细节变化的自然结构目标,对此类目标的挑战性在于:人脸由于外貌、表情、肤色等不同,具有模式的可变性;一般意义下的人脸上,可能存在眼镜、胡须等附属物;作为三维物体的人脸影像不可避免地受由光照产生的阴影的影响。因此,如果能够找到解决这些问题的方法,成功地构造出人脸检测系统,将为解决其他类似的复杂模式的检测问题提供重要的启示。本书对人脸检测的基本问题、研究思路和方法、经典的算法和技术全方位地做了深入系统的介绍,着重介绍了作者在利用活动轮廓模型方法
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implementation of active contour for detection of dark objects
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该程序利用opencv实现了活动轮廓的检测,检测效果很精确-The program utilizes opencv active contour detection very precise detection effect
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计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人
工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通
等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类,
研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉
跟踪算法的未来研究方向。-One of the computer vision
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基于snake模型的目标检测,很好的论文,可以更深入了解主动轮廓模型-Target Detection Based on snake model, a very good paper, you can better understand the active contour model
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This the source code for stomachcancer detection using active contour segmentation and SVM classification method-This is the source code for stomachcancer detection using active contour segmentation and SVM classification method
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edge detection by using edge of object
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ACtive contour without edge detection method by karthi kangayam
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