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Segmentation of Bangla words in scene images 12

Segmentation of Bangla words in scene images

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Banik, Prakriti Bhattacharya, Ujjwal Parui, Swapan K. Indian Statistical Institute Kolkata 700108 India

ISBN: (纸本)9781450316606

Some studies on extraction of Bangla texts from scene images are available in the literature. Also, OCR of printed Bangla texts has been extensively studied. However, the performance of available Bangla OCR on scene texts is not acceptable. In this article, we present our recent study of segmentation of characters or their parts from Bangla texts extracted from scene images. the proposed approach detects the background and text by a combination of two algorithms: unsupervised learning algorithm K-means clustering and Otsu's threshold selection. We propose a criterion to choose an optimal K value for K-means clustering. the text segmentation is based on region growing and extraction of both headline and baseline of such texts. these two lines divide a Bangla word into three horizontal zones. the present algorithm segments characters or their parts in each individual zone. this zone-based segmentation approach helps to reduce the number of symbols to be handled by the classifier in the next stage of the OCR system. Our algorithm can also detect an image having only numerals, avoiding zone detection in that case. Extracted scene texts are often affected by artifacts and our segmentation algorithm can remove them efficiently. Our algorithm has been tested on 2460 Bangla words extracted from 260 scene images. © 2012 ACM.

关键词： Optical character recognition

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Feature prominence-based weighting scheme for video tracking 12

Feature prominence-based weighting scheme for video tracking

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Candemir, Sema Palaniappan, Kannappan Bunyak, Filiz Rao, Raghuveer M. Seetharaman, Guna Dept. of Computer Science University of Missouri Columbia MO United States Army Research Lab. Adelphi MD United States Air Force Research Lab. Rome NY United States

ISBN: (纸本)9781450316606

this paper introduces a new mechanism called Feature Prominence to combine evidence from multiple feature operators for more reliable target detection and localization during video tracking. Feature prominence is measured using the statistical p-value estimated from a non-parametric local kernel density estimate of the a posteriori feature distribution. More prominent features have lower p-values and this ordering can be used to either discard low prominence features (high p-values) or reduce their weight during the feature fusion process to produce a more reliable fused feature likelihood map for locating the target at a subsequent time during tracking. the proposed feature fusion method is embedded within a test-bed tracking system. Detection and tracking performance of feature prominence as well as three other fusion methods are evaluated using the peak-recall and distance accuracy measures. Experimental results show that feature prominence outperforms these other feature fusion methods. © 2012 ACM.

关键词： Target tracking

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An Improved Multi-Classifier Road Detection Applied to Navigation of Automatic Land Vehicle through Remote Calling

An Improved Multi-Classifier Road Detection Applied to Navig...

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7th International conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Shen, Szu-Yu Lo, Rong-Chin Natl Taipei Univ Technol Inst Comp & Commun Engn Taipei Taiwan

ISBN: (纸本)9783037853122

this paper proposes a technique of calling ALV remotely. Firstly, sending the GPS information of the target to the ALV by wireless network, then path planning is completed by prepared map data. If the target is changing in navigation, a new path to the terminal point will be to re-plan. AdaBoost algorithm [1] is introduced for implementingroad detection;different types of classifiers are trained to detect different road surfaces. In conclusion, the ALV is able to determine driving directions on different road surfaces. [graphics] .

关键词： computer vision image processing Automatic Land Vehicle AdaBoost Multi-classifier

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Assessment of computational visual attention models on medical images 12

Assessment of computational visual attention models on medic...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Jampani, Varun Ujjwal Sivaswamy, Jayanthi Vaidya, Vivek CVIT IIIT-Hyderabad Hyderabad India Medical Image Analysis Lab. GE Global Research Bangalore India

ISBN: (纸本)9781450316606

Several computational visual saliency models have been proposed in the context of viewing natural scenes. We aim to investigate the relevance of computational saliency models in medical images in the context of abnormality detection. We report on two studies aimed at understanding the role of visual saliency in medical images. Diffuse lesions in Chest X-Ray images, which are characteristic of Pneumoconiosis and high contrast lesions such as 'Hard Exudates' in retinal images were chosen for the study. these approximately correspond to conjunctive and disjunctive targets in a visual search task. Saliency maps were computed using three popular models namely Itti-Koch [7], GBVS [3] and SR [4]. the obtained maps were evaluated against gaze maps and ground truth from medical experts. Our results show that GBVS is seen to perform the best (Mdn. ROC area = 0.77) for chest X-Ray images while SR performs the best (ROC area = 0.73) for retinal images, thus asserting that searching for conjunctive targets calls for a more local examination of an image while disjunctive targets call for a global examination. Based on the results of the above study, we propose extensions for the two best performing models. the first extension makes use of top down knowledge such as lung segmentation. this is shown to improve the performance of GBVS to some extent. In the second case the extension is by way of including multi-scale information. this is shown to significantly (by 28.76%) improve abnormality detection. the key insight from these studies is that bottom saliency continues to play a predominant role in examining medical images. © 2012 ACM.

关键词： Ophthalmology

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Objective evaluation of noisy multimodal medical image fusion using Daubechies complex wavelet transform 12

Objective evaluation of noisy multimodal medical image fusio...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Singh, Rajiv Khare, Ashish Department of Electronics and Communication University of Allahabad Allahabad India

ISBN: (纸本)9781450316606

Medical image fusion needs proper attention as images obtained from medical instruments are of poor contrast and corrupted by blur and noise due to imperfection of image capturing devices. thus, objective evaluation of medical image fusion techniques has become an important task in noisy domain. therefore, in the present work, we have proposed maximum selection and energy based fusion rules for the evaluation of noisy multimodal medical image fusion using Daubechies complex wavelet transform (DCxWT). Unlike, traditional real valued wavelet transforms, which suffered from shift sensitivity and did not provide any phase information, DCxWT is shift invariant and provides phase information through its imaginary coefficients. Shift invariance and availability of phase information properties of DCxWT have been found useful for fusion of multimodal medical images. the experiments have been performed over several set of noisy medical images at multiple levels of noise for the proposed fusion scheme. Further, the proposed fusion scheme has been tested up to the maximum level of Gaussian, salt & pepper and speckle noise. Objective evaluation of the proposed fusion scheme is performed with fusion factor, fusion symmetry, entropy, standard deviation and edge information metrics. Results have been shown for two sets of multimodal medical images for the proposed method with maximum and energy based fusion rules, and comparison has been done with Lifting wavelet transform (LWT) and Stationary wavelet transform (SWT) based fusion methods. Comparative analysis of the proposed method with LWT and SWT based fusion methods at different noise levels shows the superiority of the proposed scheme. Moreover, the plots of different fusion metrics against the maximum level of Gaussian, salt & pepper and speckle noise show the robustness of the proposed fusion method against noise. © 2012 ACM.

关键词： image fusion

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Automatic facial expression recognition using extended AR-LBP

Automatic facial expression recognition using extended AR-LB...

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6th International conference on Information processing, ICIP 2012

作者： Shrinivasa Naika, C.L. Shekhar, Jha Shashi Das Pradip, K. Nair Shivashankar, B. Indian Institute of Technology Guwahati India

ISBN: (纸本)9783642316852

the Local Binary Pattern (LBP) based operators are sensitive to localization errors. To mitigate these errors input images are manually aligned, face is localized using eyes co-ordinates in the image before feature extraction and multi-scale or multi operators are used, which restricts the use of LBP based operators for automatic facial expression recognition. this paper proposes an Extended Asymmetric Region Local Binary Pattern (EAR-LBP) operator and automatic face localization heuristics to mitigate the localization errors for automatic facial expression recognition. the proposed operator along with face localization heuristics was evaluated for person-independent facial expression recognition on JAFFE and CK+ databases using a multi-class SVM with Linear and Radial Basis Function (RBF) as kernels. It is observed that face localization and the EAR-LBP method are able to mitigate the localization errors to produce reasonably better performance. Maximum 10-fold cross validation average performance of 58.74% and 60.35% were obtained on JAFFE and in case of CK+ database, maximum performance of 83.09% and 82.21% were obtained using Linear and RBF kernels for SVM multi-class classifier respectively. © 2012 Springer-Verlag.

关键词： Local binary pattern

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the System of Anti-bud Injury in Seedcane Cutting Based on computer vision

The System of Anti-bud Injury in Seedcane Cutting Based on C...

引用

computer and Computing Technologies in Agriculture VI——6th IFIP WG 5.14 International conference(CCTA2012) Part I

作者： Yiqi Huang Xi Qiao Jian Yang College of Mechanical Engineering Guangxi University

ISBN: (纸本)9783642361234

this article establishes a system of anti-bud injury in sugarcane cutting based on computer vision using MATLAB software as a development platformthe seedcane cutter box cuts twice each *** the accurate shutter trigger time interval according to the rotation speed of the cutter,the transportation speed of sugarcane,in order to make the position of collected image of the target happen to be the next cutting siteimage processing is based on digital image processing tools of Matlab,and the image is processed from two aspects of the cane edge of the curve smoothness and internode surface color using Matlab by which sort out the image suitable for the identification of sugarcane internode,and then deal with the collected images by filtering denoising and binarization to determine whether the cutter cuts sugarcane *** the recognition threshold is 3500,the recognition accuracy of this system is 99%After modifying the recognition threshold to 4700,its recognition accuracy is 100%.

关键词： MATLAB Injury bud Cut sugarcane Iterative threshold Internode

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Dynamic Modeling of String for Robotics Application

Dynamic Modeling of String for Robotics Application

引用

International conference on Soft Computing and Intelligent Systems

作者： Khairul Salleh Mohamed Sahari Chew Han Min Yew Cheong Hou Centre for Advanced Mechatronics and Robotics Universiti Tenaga Nasional

ISBN: (纸本)9781467327428

this paper presents the modeling of deformable objects within the computer graphics. the method to model a physically correct simulator using a mass spring model for string simulation is proposed. the outline of this project is to design a dynamic model of a string. the string t is represented by a model that discretizes the object into a network of interconnected particles, springs and damping elements. the motion of the string is calculated by using nonlinear partial different equations. Besides, a recognition method based on the image information obtained is used to identify the position of string the string particles. the pixel of the image will be recorded as an array in the memory and is converted into grayscale image. After that, several processes such as background elimination and binarization is used to identify the position of each particle. Based on the results obtained, it can be concluded that the mathematical model developed are capable to approximate the real string parameter. therefore, through modeling, a real string parameter inside a model can be measured and approximated with ease through simulation. thus, this can be used to design systems for robotics application which have not been manufactured for testing, handling and manipulation.

关键词： computer graphic Mass spring model Graphical user interface image processing

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Design and Implementation of Rapid Grading Platform for Shape and Diameter of Oranges Based on Visual C#.NET

Design and Implementation of Rapid Grading Platform for Shap...

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computer and Computing Technologies in Agriculture VI——6th IFIP WG 5.14 International conference(CCTA2012) Part I

作者： Wenshen Jia Wenfu Wu Fang Li Ligang Pan Zhihong Ma Miao Gao Jihua Wang School of Biological and Agricultural Engineering Jilin University Beijing Research Center for Agrifood Testing and Farmland monitoring National Engineering Research Center for Information Technology in Agriculture

ISBN: (纸本)9783642361234;3642361234

Research on digital image processing technology,which began in1960 s,stepped into an active research stage in late 1970 s and early 1980 sIt was firstly used in industrial and biomedical fieldsAlthough it put into use in agricultural research very late,it has a broad prospectIn order to realize navel orange grading,this paper used Visual C #.NET program to develop navel orange shape and diameter rapid grading based on machine vision image *** Jiangxi navel orange was used as the research objectthe color and shape feature of the navel orange was extractedthe image data was processed through Sobel Operator algorithm and standard median filterResults show that the digital image processing technology based on C # program is feasible for shape grading of navel orangeIt also provides a new method for navel orange grading detection.

关键词： Visual C# navel orange agricultural products image processing shape

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Automatic Detection of Kiwifruit Defects Based on Near-Infrared Light Source

Automatic Detection of Kiwifruit Defects Based on Near-Infra...

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computer and Computing Technologies in Agriculture VI——6th IFIP WG 5.14 International conference(CCTA2012) Part I

作者： Pingping Li Yongjie Cui Yufeng Tian Fanian Zhang Xiaxia Wang Shuai Su College of Mechanical and Electronic Engineering Northwest A&F University

A mathematical model that expresses the relationship between Near-infrared light intensity and automatic threshold for automatic kiwifruit surface defect detection was *** applying different levels of Near-infrared light intensity to machine vision system,268 images were collectedthen the images were processed with MATLAB using the method to detect kiwifruit defects based on Near-infrared light sourcethe obtained 268 sets of data on Automatic threshold T0 and Manual threshold T/ were divided into 19 groups according to different aperture and light intensityAfter processing data,a series of linear equations about the relationship between Near-infrared light intensity and Automatic threshold T0,with function fitting coefficient of R2 > 95%was ***,relationship between T0 and T,was analyzed according to the effectiveness of image processing results and constant P was introduced to revise Automatic threshold T0thus,a mathematical model needed to gain kiwifruit defects detection threshold,namely Model threshold 7,was established.

关键词： image processing Near-infrared light intensity Automatic threshold Manual threshold Model threshold Linear relationship

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