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A fast region-based image segmentation based on least square method

Gang Chen, Tai Hu, Xiaoyong Guo, Xin Meng
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
In this paper, we propose a region-based model with weight matrix to detect objects fast based on Least Square Method.  ...  Keywords-Active contour model, region-based model, image segmentation, weight matrix, threshold detection method, least square method I.  ...  In this paper, we propose a region-based model with weight matrix to fast detect objects based on Least Square Method.  ... 
doi:10.1109/icsmc.2009.5346073 dblp:conf/smc/ChenHGM09 fatcat:pccf46va5relbcnc5kuafqgjwa

Fast tissue segmentation based on a 4D feature map: Preliminary results [chapter]

Simon Vinitski, Tad Iwanaga, Carlos Gonzalez, David Andrews, Robert Knobler, John Mack
1997 Lecture Notes in Computer Science  
In this work we present a method for generation and classification of high dimensional feature space that can be implemented on conventional PC's and applied it segment four echo based MR images of multiple  ...  contained within the solid square and overlapping regions covered at least by K circles according to rule 1 above.  ...  Fig. 4 AFFIRMATIVE images and segmentation, (a) echo1, (b) echo 2, (c) echo 3, (d) echo4, and (e) The segmentation using 4D feature map. Proc. Intl. Soc. Mag. Reson. Med. 11 (2004) 2230  ... 
doi:10.1007/3-540-63508-4_154 fatcat:d62qwe3xhjh2fes6oe6o3pf3t4

Unsupervised video segmentation based on watersheds and temporal tracking

D. Wang
1998 IEEE transactions on circuits and systems for video technology (Print)  
This paper presents a technique for unsupervised video segmentation. This technique consists of two phases: initial segmentation and temporal tracking, similar to a number of existing techniques.  ...  as the disappearance of existing objects, and 3) it is computationally efficient because of the use of watershed transformations and a fast motion estimation algorithm.  ...  ACKNOWLEDGMENT The author would like to thank A. Vincent, J. Tam, and P. Corriveau for their help in this work. He gratefully acknowledges the helpful comments made by the anonymous reviewers.  ... 
doi:10.1109/76.718501 fatcat:njzysbvuxvbutpw5hxzahh64mq

Implementation of High-Dimensional Feature Map for Segmentation of MR Images

Renjie He, Balasrinivasa Rao Sajja, Ponnada A. Narayana
2005 Annals of Biomedical Engineering  
The method is based on the K-nearest neighbor (KNN) classification and consists of two parts: preprocessing of feature space and fast KNN.  ...  This technique is implemented on a PC and applied for generating threeand four-dimensional feature maps for segmenting MR brain images of multiple sclerosis patients.  ...  Rakesh Gupta for performing the manual classification, based on the FSE and FLAIR images. We acknowledge Dr. Sushmita Datta for developing part of the analysis software and Ms.  ... 
doi:10.1007/s10439-005-5888-3 pmid:16240091 pmcid:PMC1409759 fatcat:psfwbmvqyjb75kk5ueti3jqimq

Image segmentation using local spectral histograms and linear regression

Jiangye Yuan, DeLiang Wang, Rongxing Li
2012 Pattern Recognition Letters  
We present a novel method for segmenting images with texture and nontexture regions.  ...  , we formulate the segmentation problem as a multivariate linear regression, where the solution is obtained by least squares estimation.  ...  Solve b using (5) to obtain the segmentation result. Smoothing effect The proposed method has a smoothing effect on region boundaries. Consider a two-region image containing a zigzag boundary.  ... 
doi:10.1016/j.patrec.2011.12.003 fatcat:tocadtxbvbdftlkmbrw42oilq4

Image segmentation based on local spectral histograms and linear regression

Jiangye Yuan, DeLiang Wang, Rongxing Li
2011 The 2011 International Joint Conference on Neural Networks  
We present a novel method for segmenting images with texture and nontexture regions.  ...  We present segmentation results on different types of images, and our comparison with another spectral histogram based method shows that the proposed method gives more accurate results.  ...  The least squares estimate of β is given by [6] ( ) 1 T T − = β Z Z Z Y . (5) One can manually select windows at the centers of homogeneous regions to calculate representative features, and a segmentation  ... 
doi:10.1109/ijcnn.2011.6033260 dblp:conf/ijcnn/YuanWL11 fatcat:xhkmuvympvfmdjt65zvxqutn3e

A Survey: Image Segmentation Techniques

Muhammad Waseem Khan
2014 International Journal of Future Computer and Communication  
Segmentation is considered as one of the main steps in image processing. It divides a digital image into multiple regions in order to analyze them.  ...  This paper presents a literature review of basic image segmentation techniques from last five years. Recent research in each of image segmentation technique is presented in this paper.  ...  They proposed a new region based method based on Least Square method in order to detect objects sharply.  ... 
doi:10.7763/ijfcc.2014.v3.274 fatcat:r2xrjqhddvf25crozekx6z4psy

Factorization-Based Texture Segmentation

Jiangye Yuan, Deliang Wang, Anil M. Cheriyadat
2015 IEEE Transactions on Image Processing  
This paper introduces a factorization-based approach that efficiently segments textured images.  ...  The factorization method is based on singular value decomposition and nonnegative matrix factorization.  ...  Sandler and Lindenbaum propose a segmentation method based on nonnegative matrix factorization [42] .  ... 
doi:10.1109/tip.2015.2446948 pmid:26087494 fatcat:byox5tclizdk7fnzg5ql5dfm2a

Turkish Fingerspelling Recognition System Using Axis of Least Inertia Based Fast Alignment [chapter]

Oğuz Altun, Songül Albayrak, Ali Ekinci, Behzat Bükün
2006 Lecture Notes in Computer Science  
A novel fast alignment method that uses the angle of orientation between the axis of least inertia and y axis is applied to hand regions.  ...  This method compensates small orientation differences but increases big ones.  ...  Hand objects in these frames are segmented out by skin color in YCrCb space. These hand objects are aligned using the novel angle of orientation based fast alignment method.  ... 
doi:10.1007/11941439_51 fatcat:6lwldndgxnfynlx76yefmlqnh4

Extraction of quadrics from noisy point-clouds using a sensor noise model

Narunas Vaskevicius, Kaustubh Pathak, Razvan Pascanu, Andreas Birk
2010 2010 IEEE International Conference on Robotics and Automation  
Fitting optimum quadrics on segmented noisy rangeimage is a challenging task. The algebraic least-squares fit usually considered in the literature is biased, although it is fast to compute.  ...  First, the fast leastsquares method is modified to detect degeneracy automatically and it is used to aid segmentation.  ...  A sample range image and point-cloud for an umbrella on the floor is shown in Fig. 3 and its least-squares based segmentation is shown in Fig. 4 .  ... 
doi:10.1109/robot.2010.5509463 dblp:conf/icra/VaskeviciusPPB10 fatcat:afswve6xvrc6jhoslr5i6qofve

Edge Detection in Range Images Based on Scan Line Approximation

Xiaoyi Jiang, Horst Bunke
1999 Computer Vision and Image Understanding  
In a second step, a fusion method is applied, removing redundancies and false boundaries to find the regions of interest in the segmented images.  ...  We present current development towards a real-time method for segmentation of images for robotics applications.  ...  In a second step, a fusion method is applied, removing redundancies and false boundaries to find the regions of interest in the segmented images.  ... 
doi:10.1006/cviu.1998.0715 fatcat:qwb2uprnq5bghakcsdemhwtn54

Clinical MRI Based Volumetry: The Cerebral Ventricles [chapter]

Horst K. Hahn, Markus G. Lentschig, Burckhard Terwey, Heinz-Otto Peitgen
2001 Lecture Notes in Computer Science  
The segmentation algorithm is based on a fast watershed transformation as described in [1] .  ...  Least squared error minimization is used to fit the model. The expected volumetric uncertainties are calculated individually, based on image quality.  ... 
doi:10.1007/3-540-45468-3_199 fatcat:jo5m4xt5zzb3rm6dh3uhloineu

An Optic Disc Segmentation Method Based on Active Contour Tracking

Zhongliang Luo, Yingbiao Jia, Jiazhong He
2019 Traitement du signal  
Then, the center of optic disc was preliminarily identified by least squares method. Next, the region of interest (ROI) was determined based on the features and center of optic disc.  ...  For this purpose, an optic disc segmentation method was designed based on active contour tracking. Firstly, the original retinal image was denoised, and its contrast was enhanced.  ...  ACKNOWLEDGMENT The authors would like to specially thank the management teams of the DRIVE, the STARE and Drishti-GS1 and Messidor databases for providing retinal fundus image databases.  ... 
doi:10.18280/ts.360310 fatcat:odcntkhhu5hz7nghpv6gssbdeq

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures

Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer, Kenneth M. Hanson
1998 Medical Imaging 1998: Image Processing  
Although a large variety of image registration methods have been described in the literature, only a few approaches have attempted to address the rigid registration of medical images showing gross dissimilarities  ...  The proposed robust similarity metrics compare favourably to the most popular standard similarity metrics, on patient image pairs showing gross dissimilarities.  ...  The above mentionned approach 11 is feature-based and relies on a least median of squares robust estimator. 12 Contrary to the method described below, its application to 3D multimodal images has not  ... 
doi:10.1117/12.310863 dblp:conf/miip/NikouHAN98 fatcat:b3neddypqvaprod7tr47ohl34m

Review of 3D Point Cloud Data Segmentation Methods

Xiaoyi Ruan, Baolong Liu
2020 International Journal of Advanced Network, Monitoring, and Controls  
To facilitate analysis and summary, according to the principle of segmentation we divide the 3D point cloud segmentation methods into edge-based methods, region-based methods, graph-based methods, model-based  ...  3D point cloud segmentation is one of the key steps in point cloud processing, which is the technology and process of dividing the point cloud data set into several specific regions with unique properties  ...  Comparison of Least Squares Fitting and RANSAC TABLE I .  ... 
doi:10.21307/ijanmc-2020-010 fatcat:477fmxnq2jdk3lmsvtiphxl6ne
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