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International conference on Signal processing proceedings (ICSP)

作者： K. Rajgopal S.J. Sathish Department of Electrical Engineering Indian Institute of Science Bangalore India

In this paper, we present a general framework for solving the shape from shading problem for a class of surfaces called implicit surfaces by applying image synthesis techniques from computer graphics. The method relies on iterative synthesis of images from object descriptions in order to minimize an error function. The technique is illustrated in detail for quadric surfaces, with the ellipsoid as the specific example. The advantage of this approach is that reconstructing the shape of objects from shading is possible even under very general imaging conditions.

关键词： Shape computer graphics Partial differential equations image generation Iterative methods computer errors Surface reconstruction Ellipsoids image reconstruction computer vision

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Face verification using correlation filters and autoassociative neural networks

Face verification using correlation filters and autoassociat...

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International conference on Intelligent Sensing and Information processing (ICISIP)

作者： Anil Kumar Sao B. Yegnanarayana Department of Computer Science and Engineering Speech and Vision Laboratory Indian Institute of Technology Madras Chennai India Department of Computer Science and Engineering Speech and Vision Laboratory Indian Institute of Technology Madras India

Face verification is the process of accepting or rejecting the identity claim of a person using information from his/her face. Representation of the face is an important issue in face verification. This paper propose edge gradient-based representation of face, for correlation-based face verification. The edge gradient based representation of face is obtained using one-dimensional (1-D) processing of the image, which has the advantage of providing multiple partial evidences for a given image. This representation of face is used to recognize the faces, which is performed by a specific type of correlation filter called minimum average correlation energy (MACE). Separate correlation filters are employed for each partial evidence. A method is proposed to combine the output of the filter using an auto-associative neural network (AANN) model to arrive at a decision to accept or reject the claim.

关键词： Neural networks Face detection Face recognition Matched filters image databases Multimedia databases Discrete Fourier transforms Speech processing Laboratories computer science

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An approach to a rough set decision system for classification of different heart diseases

An approach to a rough set decision system for classificatio...

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AMSE International conference on Modelling and Simulation, MS'2004

作者： Mitra, S. Mitra, M. Chattopadhya, S. Chaudhuri, B.B. Department of Applied Physics Faculty of Technology University of Calcutta India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India JIS College of Engineering Kalyani India

In this paper a rule based rough set decision system for development of a disease inference engine is described. For this purpose an off-line data acquisition system of paper electrocardiogram (ECG) records are developed using image processing techniques. A QRS detector is developed for detection of R-R interval from ECG waves. After detection of this R-R interval the P and T waves are detected based on syntactic approaches and different time-plane features are extracted from every ECG signals. From a knowledgebase which is developed from the feedback of different reputed cardiologists and consultation of different medical books the essential time plane features for ECG interpretation have been selected. Finally, a rule-based roughest decision system is generated for the development of an inference engine for disease identification from these time-plane features.

关键词： Inference engines

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Comparison of iris recognition algorithms

Comparison of iris recognition algorithms

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International conference on Intelligent Sensing and Information processing (ICISIP)

作者： M. Vatsa Richa Singh P. Gupta Department of CSE Indian Institute of Technology Kanpur India

In this paper, we have studied various well known algorithms for iris recognition. Four algorithms due to Sanchez-Avila et al. (2001), Li Ma et al. (2002), Tisse et al. (2002) and Daugman (2001) are implemented and compared on the CASIA iris image database. The results show that the Daugman's algorithm gave the highest accuracy of 99.9%.

关键词： Iris recognition Biometrics Cornea Humans image databases Authentication Fingerprint recognition Muscles Contracts computer vision

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A novel SOM-based approach for active contour modeling

A novel SOM-based approach for active contour modeling

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Intelligent Sensors, Sensor Networks and Information processing conference (ISSNIP)

作者： Y.V. Venkatesh S.K. Raja N. Ramya Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Science Bangalore India

We integrate the advantages of SOM- and snake-based ACMs in order to extract the desired contour from images. We employ: (i) the feature points to guide the contour, as in the case of SOM-based ACMs; (ii) the gradient and intensity variations in a local region to control the contour movement. However, in contrast with the snake-based ACMs, we do not use an explicit energy functional based on gradient or intensity. The algorithm is tested on synthetic binary and gray-level images, and the results show the superiority of the proposed algorithm over other conventional SOM- and snake-based ACM algorithms.

关键词： Active contours Neurons computer vision image edge detection Deformable models Neural networks Laboratories Testing Joining processes Object detection

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Segmentation of coarticulated basic units in isolated Bangla words using multifactorial analysis

Segmentation of coarticulated basic units in isolated Bangla...

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IEEE India conference (INDICON)

作者： T. Chattopadhyay B.B. Chaudhuri Systems TCS Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

One of the major challenges in speech synthesis and recognition is coarticulated unit segmentation. In this paper we present a novel technique for segmenting the basic coarticulated units using multifactorial analysis based approach. The proposed algorithm is applied on isolated spoken words in Bangla. The results obtained from a considerably large database show the strength of the approach.

关键词： Speech synthesis State-space methods Databases Automatic speech recognition image segmentation image processing Linear predictive coding Switches Testing Signal analysis

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An area-efficient pipelined array architecture for Euclidean Distance Transformation and its FPGA implementation

An area-efficient pipelined array architecture for Euclidean...

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International conference on VLSI Design

作者： N. Sudha Department of Computer Science and Engineering Indian Institute of Technology Madras India

ISBN: (纸本)0769520723

The Euclidean Distance Transform (EDT) is an important tool in image analysis and machine vision. This paper provides an area-efficient hardware solution to the computation of EDT on a binary image. An O(n) hardware algorithm for computing EDT of an n/spl times/n image is presented. A pipelined 2-D array architecture for hardware implementation is designed. The architecture has a regular structure with locally connected identical processing elements. Further, pipelining reduces hardware resources. Results of FPGA-based implementation shows that the hardware can process about 6000 images of size 512/spl times/512 per second which is much higher than the video rate of 30 frames per second.

关键词： Euclidean distance Field programmable gate arrays Very large scale integration

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Fuzzy edge detector using entropy optimization

Fuzzy edge detector using entropy optimization

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International conference on Information Technology: Coding and Computing (ITCC)

作者： M. Hanmandlu J. See S. Vasikarla Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi India

This paper proposes a fuzzy-based approach to edge detection in gray-level images. The proposed fuzzy edge detector involves two phases - global contrast intensification and local fuzzy edge detection. In the first phase, a modified Gaussian membership function is chosen to represent each pixel in the fuzzy plane. A global contrast intensification operator, containing three parameters, viz., intensification parameter t, fuzzifier f/sub h/ and the crossover point x/sub c/, is used to enhance the image. The entropy function is optimized to obtain the parameters f/sub h/, and x/sub c/ using the gradient descent function before applying the local edge operator in the second phase. The local edge operator is a generalized Gaussian function containing two exponential parameters, /spl alpha/ and /spl beta/. These parameters are obtained by the similar entropy optimization method. By using the proposed technique, a marked visible improvement in the important edges is observed on various test images over common edge detectors.

关键词： Detectors Entropy image edge detection Fuzzy sets image processing Phase detection Optimization methods Testing image enhancement computer vision

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Improved rank conditioned median filter for removal of impulse noise from images

Improved rank conditioned median filter for removal of impul...

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IEEE Region 10 International conference TENCON

作者： K.M. Singh P.K. Bora Department of Electronics and Communication Engineering Indian Institute of Technology Guwahati India

This paper presents an improved rank-conditioned median filter, with the ability of the median filter to remove the impulse noise and the rank conditioned median filter to preserve edges and fine image details. The center pixel that lies outside the trimming range after ranking in the rank-conditioned median algorithm may not be the corrupted pixel, but it may be a pixel on the edge or image detail and therefore, it is further verified if the central sample is a possible candidate for being an impulse by thresholding. The better performance of the new filter is demonstrated.

关键词： Pixel Nonlinear filters Information filtering Information filters Digital filters image processing computer vision Frequency Digital images Low pass filters

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CBP and ART image reconstruction algorithms on media and DSP processors

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MICROPROCESSORS AND MICROSYSTEMS 2001年第5期25卷 233-238页

作者： Rajan, K Patnaik, LM Indian Inst Sci Dept Phys Bangalore 560012 Karnataka India Indian Inst Sci Microprocessor Applicat Lab Bangalore 560012 Karnataka India

Computed Tomography (CT) image reconstruction algorithms such as convolution back-projection (CBP) and algebraic reconstruction technique (ART) are highly compute-intensive for today's single processor systems. In this work, we investigate the suitability of TM-1000 media processor and Analog Device's ADSP 21160 as a compute engine for the execution of image reconstruction algorithms. Philips Trimedia TM-1000, a very large instruction word (VLIW) processor, is a high performance media processor optimized for realtime processing of audio, video, graphics, and communication data streams. TM-1000 has a high performance digital signal processor (DSP) core, supported by multiple functional units. The DSP core and the functional blocks operate in parallel, driven by a mix of RISC, multimedia, SIMD-type DSP and floating point instructions. A typical DSP such as Analog Device's ADSP 21160 is based on super harvard architecture (SHARC) and is an optimized processor for digital signal processing applications. It has two sets of computation units. Each p computation unit comprises of three functional blocks namely, arithmetic and logic unit (ALU), multiplier and shifter unit. ADSP 21160 supports single instruction multiple data (SIMD) computation model to handle dual computation units. Both sets of computation units operate concurrently. We compare the performance of TM-1000 media processor and ADSP 21160 DSP processor to execute the image reconstruction algorithms by comparing the execution time of CBP and ART algorithms on them. The image reconstruction algorithms normally break down to a repetitive multiply-accumulate operation (MAC). All DSP processors support single-cycle MAC and zero-overhead loop instructions. The media processors normally do not support single-cycle MAC instruction and zero-overhead loop functionality. However, media processors are equipped with multiple functional units that perform multiple operations in a single instruction time. A DSP processor is

关键词： DSP computerized tomography back-projection

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