1. ON THE COMPLEXITY OFFULLERENES AND NANOTUBES 1 ′ ˇ ′ MilanRandic, Xiaofeng Guo,DejanPlavsicand Alexandru T.Balaban 1. Introduction . . .......................... 1 2. On the ComplexityoftheComplexityConcept . . ....... 3 3. Complexity and Branchi
Otsu’s method of image segmentation selects an optimum threshold by maximizing the between-class variance in a gray image. However, this method becomes very time-consuming when extended to a multi-level threshold problem due to the fact that a large
摘自Amazon书评 "The book presents a nice complement to Image Processing, Analysis and Machine Vision (Image Processing, Analysis, and Machine Vision, 2nd ed., M. Sonka, V. Hlavac, and R. Boyle, 1998, IPAMV). As the difference in names implies, Computer
this packet codes are about primal dual algorithms for image processing such as image denoising based on ROF model and TV-L1 and Huber ROF, image restoration like deconvolution, image zooming, image inpainting,optical flow for motion estimation and
Descr iption These functions implements the basic snake segmentation contour, as introduced by Kass et al. Algorithm: A snake is an active (moving) contour, in which the points are attracted by edges and other image boundaries. To keep the contour s
C. Li, C. Xu, C. Gui, and M. D. Fox, "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 2010 (pdf, BibTex, 160+ citations, website) (This paper generalizes
水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用： C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 201
利用高斯混合模型实现图像分割The Expectation-Maximization algorithmhas been classically used to find the maximum likelihood estimates of parameters in probabilistic models with unobserved data, for instance, mixture models. A key issue in such problems is the choi
1 Preliminaries 3 1.1 A Bit of History 4 1.2 Introduction 7 1.3 Motivation 8 1.3.1 Optics 8 1.3.2 Shape of a Liquid Drop 10 1.3.3 Optimization of a River-Crossing Trajectory 12 1.3.4 Summary 14 1.4 Extrema of Functions 14 1.5 Constrained Extrema and
Robust Speaker segmentation and clustering for Meetings (PhD Thesis Proposal) Thesis Advisor: Prof. Javier Hernando Peric´as TALP Research Center Department of Signal Theory and Communications Universitat Polit`ecnica de Catalunya e-mail: javier@gps
作者：Marc Bosch,Christopher M. Gifford,Austin G. Dress,Clare W. Lau,Jeffrey G. Skibo,Gordon A. Christie 摘要：Image segmentation is an important component of many image understanding systems. It aims to group pixels in a spatially and perceptually cohere
作者：Xiaohang Zhan,Ziwei Liu,Ping Luo,Xiaoou Tang,Chen Change Loy 摘要：Deep convolutional networks for semantic image segmentation typically require large-scale labeled data, e.g. ImageNet and MS COCO, for network pre-training. To reduce annotation effo
该数据集包含对糖尿病性黄斑水肿的光学相干断层扫描图像进行分割的图像。数据集载自文章：S. J. Chiu, M. J. Allingham, P. S. Mettu, S. W. Cousins, J. A. Izatt, S. Farsiu, "Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema", ( BIOMEDICAL OPTICS
