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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"
1005 条 记 录,以下是691-700 订阅
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Anatomical model-guided segmentation of brain MR image sequences  14
Anatomical model-guided segmentation of brain MR image seque...
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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014
作者: Mondal, Prasenjit Mukhopadhyay, Jayanta Sural, Shamik Bhattacharyya, Pinak Pani Department of Computer Science and Engineering Indian Institute of Technology Kharagpur West Benagl India School of Information Technology Indian Institute of Technology Kharagpur West Benagl India Department of Radiology Quadra Medical Services Pvt. Ltd. Kolkata India
this paper presents a method for segmentation of human brain magnetic resonance (MR) image sequences based on a 3D human brain model (triangulated mesh). the brain model is composed of four components, namely, cerebru... 详细信息
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A novel intelligent multiple watermarking schemes for the protection of the information content of a document image  10
A novel intelligent multiple watermarking schemes for the pr...
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10th indian conference on computer vision, graphics and image processing, ICVGIP 2016
作者: Chetan, K.R. Nirmala, S. Department of CSE JNN College of Engineering ShimogaKarnataka India
Most of the past document image watermarking schemes focus on providing same level of integrity and copyright protection for information present in the source document image. However, in a document image the informati... 详细信息
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Removing structural noise in handwriting images using deep learning  14
Removing structural noise in handwriting images using deep l...
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9th indian conference on computer vision, graphics and image processing, ICVGIP 2014
作者: Chen, Gang Srihari, Sargur N. Dept. of Computer Science and Engineering University at Buffalo State of University of New York BuffaloNY14260 United States
Since handwriting recognition is very sensitive to structural noise, like superimposed objects such as straight lines and other marks, it is necessary to remove noise in a preprocessing stage before recognition. Altho... 详细信息
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Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance  12
Wavelet-based contrast enhancement of dark images using dyna...
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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012
作者: Chouhan, Rajlaxmi Jha, Rajib Kumar Biswas, Prabir Kumar Indian Institute of Technology Kharagpur India Indian Institute of Information Technology Design and Manufacturing Jabalpur India
In this paper, a dynamic stochastic resonance (DSR)-based technique has been proposed for contrast enhancement of dark and low contrast images in discrete wavelet transform (DWT) domain. Traditionally, the performance... 详细信息
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Wireless Networks and Computational Intelligence  1
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丛书名: Communications in computer and Information Science
1000年
作者: K. R. Venugopal L. M. Patnaik
this book constitutes the refereed proceedings of the 6th International conference on Information processing, ICIP 2012, held in Bangalore, India, in August 2012. the 75 revised full papers presented were carefully re... 详细信息
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Semantic multinomial representation for scene images using CNN-based pseudo-concepts and concept neural network  6th
Semantic multinomial representation for scene images using C...
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6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017
作者: Pradhan, Deepak Kumar Gupta, Shikha thenkanidiyoor, Veena Aroor Dinesh, Dileep Department of Computer Science and Engineering National Institute of Technology Goa PondaGoa401403 India School of Computing and Electrical Engineering Indian Institute of Technology Mandi MandiH.P.175001 India
For challenging visual recognition tasks such as scene classification and object detection there is a need to bridge the semantic gap between low-level features and the semantic concept descriptors. this requires mapp... 详细信息
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Automatic extraction of road segments from high resolution satellite images - A region and boundary based approach  12
Automatic extraction of road segments from high resolution s...
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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012
作者: Banerjee, Biplab Buddhiraju, Siddharth Mohan, B. Krishna Satellite Image Analysis Lab. CSRE IIT Bombay Powai Mumbai India Electrical Engineering Dept. IIT Bombay Powai Mumbai India
the problem of road segment extraction from high resolution satellite or aerial images has been considered in this paper. Efficient extraction of road segments is a difficult task due to the problems regarding image a... 详细信息
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Rejection-Cascade of Gaussians: Real-Time Adaptive Background Subtraction Framework  7th
Rejection-Cascade of Gaussians: Real-Time Adaptive Backgroun...
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7th National conference on computer vision, Pattern Recognition, image processing, and graphics, NCVPRIPG 2019
作者: Kiran, B. Ravi Das, Arindam Yogamani, Senthil Navya Paris France Detection Vision Systems Valeo Chennai India Valeo Vision Systems Galway Ireland
Background-Foreground classification is a well-studied problem in computer vision. Due to the pixel-wise nature of modeling and processing in the algorithm, it is usually difficult to satisfy real-time constraints. th... 详细信息
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C-SAW: Self-Supervised Prompt Learning for image Generalization in Remote Sensing  14
C-SAW: Self-Supervised Prompt Learning for Image Generalizat...
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14th indian conference on computer vision, graphics and image processing, ICVGIP 2023
作者: Bhattacharya, Avigyan Singha, Mainak Jha, Ankit Banerjee, Biplab Indian Institute of Technology Bombay Maharashtra Mumbai India
We focus on domain and class generalization problems in analyzing optical remote sensing images, using the large-scale pre-trained vision-language model (VLM), CLIP. While contrastively trained VLMs show impressive ze... 详细信息
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Magnetic resonance image reconstruction by nullspace based finite rate of innovation framework  21
Magnetic resonance image reconstruction by nullspace based f...
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12th indian conference on computer vision, graphics and image processing, ICVGIP 2021
作者: Reddy, P. Sudhakar Raghavendra, B.S. Narasimhadhan, A.V. National Institute of Technology Karnataka Mangalore India
the finite rate of innovation (FRI) framework has proved that it is possible to reconstruct the analog signals which have a finite number of parameters. FRI framework is used to reconstruct the images from undersample... 详细信息
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