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检索条件"任意字段=Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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Partial Fourier reconstruction using subspace projection

Partial Fourier reconstruction using subspace projection

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Uma K. Kesavadas Chandrasekharan Joseph Suresh Paul Indian Institute of Information Technology and Management-Kerala Trivandrum Sree Chitra Tirunal Institute for Medical Science and Technology Trivandrum

Scan time reduction in MRI can be achieved by partial k-space reconstruction. Truncation of the k-space results in generation of artifacts in the reconstructed image. A subspace projection algorithm is developed for artifact-free reconstruction of sparse MRI. The algorithm is applied to a frequency weighted k-space, which fits into a signal-space model for sparse MR images. The application is illustrated using Magnetic Resonance Angiogram (MRA).

关键词： image reconstruction Vectors Magnetic resonance imaging Reconstruction algorithms Filling Magnetic resonance Noise

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On Automatic Authenticity Verification of Printed Security Documents

On Automatic Authenticity Verification of Printed Security D...

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Utpal Garain Biswajit Halder Indian Statistical Institute Kolkata India PDSIT Bengal Engineering and Science University Shibpur West Bengal India

This paper presents a pioneering effort to involve machine in checking document authenticity. A particular class of security documents has been considered for the present experiment. Bank cheques, several kinds of tickets like lottery tickets, air tickets, etc., legal deeds, certificates, mark sheets, postal stamps, etc. all these documents fall under the same class as far as security is concerned. Criminalspsila efforts for generating fraudulent version of such documents are on the rise. This study attempts to develop a general framework for automatic authenticity verification of such security documents. The proposed method first computationally extracts the security features from the document images and then the notion of authenticity vs. duplicity is defined in the feature space. Bank cheques are taken as a reference for conducting experiment. Support vector machines (SVMs) are used to verify authenticity of these cheques. Non-linear kernel functions are used to conduct this experiment. Results show that a polynomial kernel based SVM gives about 99.5% accuracy discriminating duplicate cheques from genuine ones. This strongly attests the viability of the proposed approach for machine authentication of printed security documents.

关键词： Security Authentication Law Legal factors Feature extraction Support vector machines Kernel Forensics Printing computer vision

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Robust Detection of Microaneurysms for Sight Threatening Retinopathy Screening

Robust Detection of Microaneurysms for Sight Threatening Ret...

引用

indian conference on computer vision, graphics & image processing (ICVGIP)

作者： Abhir Bhalerao Amiya Patanaik Sarabjot Anand Pounnusamy Saravanan Department of Computer Science University of Warwick UK Indian Institute of Technology Kharagpur India Department of Diabetes and Endocrinology University Hospitals Coventry and Warwickshire UK

Diabetic retinopathy is one of the major causes of blindness. However, diabetic retinopathy does not usually causea loss of sight until it has reached an advanced stage. The earliest sign of the disease are microaneurysms (MA) which appear as small red dots on retinal fundus images. Various screening programmes have been established in the UK and other countries to collect and assess images on a regular basis, especially in the diabetic population. A considerable amount of time and money is spent in manually grading these images, a large percentage of which are normal. By automatically identifying the normal images, the manual workload and costs could be reduced greatly while increasing the effectiveness of the screening programmes. A novel method of microaneurysm detection from digital retinal screening images is proposed. It is based on filtering using complex-valued circular-symmetric filters, and an eigen-image, morphological analysis of the candidate regions to reduce the false-positve rate. We detail the image processing algorithms and present results on a typical set of 89 image from a published database. Our method is shown to have a best operating sensitivity of 82.6% at a specificity of 80.2% which makes it viable for screening. We discuss the results in the context of a model of visual search and the ROC curves that it can predict.

关键词： Robustness Retinopathy Diabetes Retina Blindness Diseases Costs Filtering Filters image processing

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Homomorphic incremental directional averaging for noise suppression in SAR images 6th

Homomorphic incremental directional averaging for noise supp...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Aswatha, Shashaank M. Mukhopadhyay, Jayanta Biswas, Prabir K. Aikat, Subhas Indian Institute Technology Kharagpur KharagpurWest Bengal721 302 India

ISBN: (纸本)9789811300196

In recent days, it is found that Synthetic Aperture Radar (SAR) images can be a very useful mode for observing and understanding the surface of Earth. The images formed under SAR modality usually suffer from multiplicative noise, particularly in single-look-complex (SLC) mode. There are extensive works in the literature for denoising SAR data, which are usually applied on amplitude data, or on coherency/covariance data. In this paper, we propose a two-channel filtering technique for noise suppression in complex SAR data. The rectangular format of complex SAR data is represented in phasor form to execute noise filtering over amplitude and phase independently, and then converted back to the rectangular format for subsequent applications. In this approach, it is observed that, the surface texture information is visibly retained while suppressing the noise considerably well, in comparison to reference multi-look image. As an application, we show the advantage of proposed noise suppression technique in classification of SAR images. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Synthetic aperture radar

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Stamp and logo detection from document images by finding outliers

Stamp and logo detection from document images by finding out...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Soumyadeep Dey Jayanta Mukherjee Shamik Sural School of Information Technology Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Indian Institute of Technology Kharagpur

Stamps and logos are generally used for authenticating the source of a document. For automatic document processing, identification and segmentation of stamps and logos are essential. In the past, methods to detect stamps and logos were limited to specific shapes, colors, or training data. However, stamps and logos can be of any shape or color. In this paper, we have proposed a novel stamp and logo detection technique. Our approach is based on the fact that stamps and logos, in general, are not the primary contents of a document. This fact motivates us to propose an outlier detection technique for the same purpose in a feature space. Based on some geometric features, the detected outliers are classified as stamps and logos. Our method shows good performance in case of separating them from text. Moreover, this technique is capable of detecting logos as well as chromatic and achromatic stamps.

关键词： image color analysis Feature extraction image segmentation Shape Rubber Detection algorithms Electronic mail

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Feature extraction and identification of indian currency notes

Feature extraction and identification of Indian currency not...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Snigdha Kamal Simarpreet Singh Chawla Nidhi Goel Balasubramanian Raman Dept. of Electronics and Communications Engineering Delhi Technological University New Delhi Dept. of Computer Science and Engineering Indian Institute of Technology Roorkee

Banknote identification systems, with their wide applications in Automated Teller Machines (ATMs), vending machines and currency recognition aids for the visually impaired, are one of the most widely researched fields today. The present paper proposes a novel technique for recognition of indian currency banknotes by adopting a modular approach. The proposed work extracts distinct and unique features of indian currency notes such as central numeral, RBI seal, colour band and identification mark for the visually impaired and employs algorithms optimized for the detection of each specific feature. The proposed technique has been evaluated over a large data set for recognition of indian banknotes of various denominations and physical conditions including new notes, wrinkled notes and non-uniform illumination. Thorough analysis yields a high true positive rate (desired feature identified correctly) of 95.11% and a low false positive rate (undesired feature recognition minimized) of 0.09765% for emblem recognition, an accuracy of 97.02% for central numeral detection, and 100% accuracies for both recognition of identification mark and colour matching in CIE LAB colour space.

关键词： image color analysis Feature extraction Detectors image recognition Histograms Visualization Neural networks

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Web-Based Physics Experiments in Dynamics Using image processing 1

Web-Based Physics Experiments in Dynamics Using Image Proces...

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1st IEEE International conference on Power Electronics, Intelligent Control, and Energy Systems (ICPEICES)

作者： Pattanashetty, Kiran C. Kumar, Ranjeet Pandian, S. R. Indian Inst Informat Technol Design & Mfg Kanchee Dept Elect Engn Madras Tamil Nadu India

ISBN: (纸本)9781467385879

Web-based laboratories are promising to save the cost required to setup a hands-on laboratory in schools. There are several basic experiments in physics which help the students understand the basics of classical physics. However, the rising cost of laboratory infrastructure and costly equipment to conduct these experiments make it difficult for schools, in developing countries like India to build laboratories. This paper presents innovative web-based laboratory for physics to study equations of motion. One such experiment in equations of motion is the determination of acceleration due to gravity of a free falling object. However, measuring the distance traveled and time taken by a free-falling object is a tedious process. To overcome this challenge, a computer vision based system is presented which can measure the distance traveled and time taken by the object during free fall. By the technique of object detection in computer vision, the free-falling object is detected and tracked. The system is implemented using OpenCV libraries. The result of the analysis of free falling object is provided to the students through the web page.

关键词： OpenCV Object Detection Acceleration Due to Gravity Dynamics Experiment

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OD-Match: PatchMatch based Optic Disk detection

OD-Match: PatchMatch based Optic Disk detection

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： S. Avinash Ramakanth R. Venkatesh Babu SERC Indian Institute of Science Bangalore India

Approximate Nearest-Neighbour Field has been an area of interest in recent research for a wide variety of topics in graphics and multimedia community. Medical image processing is a relatively unaffected field by these developments in ANNF computations, brought about by various extremely efficient algorithms like PatchMatch. In this paper, we use Generalized PatchMatch for Optic Disk detection, in retinal images, and show that by making use of efficient ANNF computations we are able to generate results with 98% accuracy with an average time of 0.5 sec. This is significantly faster than conventional Optic Disk detection methods, which average at 95-97% accuracy with 3-5 sec average computation time.

关键词： Optical imaging Biomedical optical imaging Accuracy Adaptive optics Retina Databases Integrated optics

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Flash/no-flash image fusion using dictionary learning

Flash/no-flash image fusion using dictionary learning

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ekta Samani Vikas Gupta Shanmuganathan Raman Indian Institute of Technology Gandhinagar India

An image captured in dark environment usually has ambient illumination, but the image looks dark and noisy. However, the use of flash can introduce unwanted artifacts such as sharp shadows at silhouettes, red eyes, and non-uniform brightness in the image. We propose a new framework to enhance photographs captured in dark environments by combining the best features from a flash and a no-flash image. We use sparse and redundant dictionary learning based approach to denoise the no-flash image. A weighted least squares framework is used to transfer sharp details from the flash image into the no-flash image. We show that our approach is simple and able to generate better images than that of the state-of-the-art flash/no-flash fusion method.

关键词： image color analysis Dictionaries Noise reduction Photography image edge detection Lighting Colored noise

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Revealing what to extract from where, for object-centric content based image retrieval (CBIR) 14

Revealing what to extract from where, for object-centric con...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Gupta, Nitin Das, Sukhendu Chakraborti, Sutanu Dept. of CS and E IIT Madras India

ISBN: (纸本)1595930361

Content Based image Retrieval (CBIR) techniques retrieve similar digital images from a large database. As the user often does not provide any clue (indication) of the region of interest in a query image, most methods of CBIR rely on a representation of the global content of the image. The desired content in an image is often localized (e.g. car appearing salient in a street) instead of being holistic, demanding the need for an object-centric CBIR. We propose a biologically inspired framework WOW ("What"Object is "Where") for this purpose. Design of WOW framework is motivated by the cognitive model of human visual perception and feature integration theory (FIT). The key contributions in the proposed approach are: (i) Feedback mechanism between Recognition ("What") and Localization ("Where") modules (both supervised), for a cohesive decision based on mutual consensus;(ii) Hierarchy of visual features (based on FIT) for an efficient recognition task. Integration of information from the two channels ("What" and "Where") in an iterative feedback mechanism, helps to filter erroneous contents in the outputs of individual modules. Finally, using a similarity criteria based on HOG features (spatially localized by WOW) for matching, our system effectively retrieves a set of rank-ordered samples from the gallery. Experimentation done on various real-life datasets (including PASCAL) exhibits the superior performance of the proposed method. Copyright 2014 ACM.

关键词： Iterative methods

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