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Extraction of true palm-dorsa veins for human authentication 14

Extraction of true palm-dorsa veins for human authentication

引用

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

作者： Gupta, Puneet Gupta, Phalguni Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur208016 India

ISBN: (纸本)1595930361

this paper presents an efficient system for palm-dorsa vein pattern based recognition system. It can handle efficiently the problem of false palm-dorsa veins which can be created by many ways such as ink, tattoos, artificial vein pattern paper fixed on the palm-dorsa. Hand-dorsa images acquired under visible and infrared lights are used. Since vein pattern from infrared light has spurious and genuine vein pattern, spurious vein pattern is removed from it by using vein pattern from visible light. It has been tested on 600 visible and 600 infrared hand-dorsa images. Experimental results indicate that the proposed system performs efficiently. Copyright 2014 ACM.

关键词： Palmprint recognition

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Motion pattern-based image features for glaucoma detection from retinal images 12

Motion pattern-based image features for glaucoma detection f...

引用

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

作者： Deepak, K. Sai Jain, Madhulika Joshi, Gopal Datt Sivaswamy, Jayanthi CVIT IIIT Hyderabad Hyderabad India

ISBN: (纸本)9781450316606

Glaucoma is an eye disorder that causes irreversible loss of vision and is prevalent in the aging population. Glaucoma is indicated both by structural changes and presence of atrophy in retina. In retinal images, these appear in the form of subtle variation of local intensities. these variations are typically described using local shape based statistics which are prone to error. We propose an automated, global feature based approach to detect glaucoma from images. An image representation is devised to accentuate subtle indicators of the disease such that global image features can discriminate between normal and glaucoma cases effectively. the proposed method is demonstrated on a large image dataset annotated by 3 medical experts. the results show the method to be effective in detecting subtle glaucoma indicators. the classification performance on a dataset of 1186 color retinal images containing a mixture of normal, suspect and confirmed cases of glaucoma is 97 percent sensitivity at 87 percent specificity. this improves further when the suspect cases are removed from the abnormal cases. thus, the proposed method offers a good solution for glaucoma screening from retinal images. © 2012 ACM.

关键词： Feature extraction

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Segmentation and Labeling of Vertebra Using SegFormer Architecture 8th

Segmentation and Labeling of Vertebra Using SegFormer Archit...

引用

8th International conference on computer vision and image processing (CVIP)

作者： Ghosh, Archan Ghosh, Debgandhar Ghoshal, Somoballi Chakrabarti, Amlan Sur-Kolay, Susmita Univ Calcutta Kolkata India Maulana Abul Kalam Azad Univ Technol Kolkata India Indian Stat Inst Kolkata India

ISBN: (纸本)9783031581731;9783031581748

Vertebra segmentation and labeling in MR images of the spine play a vital role in the identification of diseases or anomalies. MRI captures the tissue structure of a spine accurately, hence it is essential to demarcate and identify the vertebra in the MRI image. there are both supervised and unsupervised methods for vertebra segmentation and labeling. However, the acquisition of requisite data is a challenge to designing methods with very high accuracy. In this work, we have modified a transformer-based architecture called Segformer for semantic segmentation of 3D sliced data. Our method leverages transfer learning on low-population data. With a new advanced masking logic, we achieve 99% accuracy for segmentation and labeling of lumbar spine MR images.

关键词： Semantic segmentation of image Vertebra labeling Transfer learning Segformer architecture

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Feature match: An efficient low dimensional PatchMatch technique 12

Feature match: An efficient low dimensional PatchMatch techn...

引用

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

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

ISBN: (纸本)9781450316606

Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the image processing community in the recent years. Two important papers viz. PatchMatch [3] and CSH [11] have been developed over the past few years based on the coherency between images, but one major problem both these papers have is that image patches are treated as high dimensional vector features. In this paper we present a novel idea to reduce the dimensions of a p-by-p patch of color image to a set of low level features. this reduced dimension feature vector is used to compute the ANNF. Using these features we show that instead of dealing with image patches as p2 dimensional vectors, dealing with them in a lower dimension gives a much better approximation for the nearest-neighbour field as compared to the state of the art. We further present a modification which improves the ANNF to give more accurate color information and show that using our improved algorithm we do not need a pair of related images to compute the ANNF like in other algorithms, i.e. we can generate the ANNF for all the images using unrelated image pairs or even from a universal source image. © 2012 ACM.

关键词： Nearest neighbor search

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ViLP: Knowledge Exploration using vision, Language, and Pose Embeddings for Video Action Recognition 14

ViLP: Knowledge Exploration using Vision, Language, and Pose...

引用

14th indian conference on computer vision, graphics and image processing, ICVGIP 2023

作者： Chaudhuri, Soumyabrata Bhattacharya, Saumik Indian Institute of Technology Bhubaneswar Odisha Bhubaneswar India Indian Institute of Technology Kharagpur West Bengal Kharagpur India

ISBN: (纸本)9798400716256

Video Action Recognition (VAR) is a challenging task due to its inherent complexities. though different approaches have been explored in the literature, designing a unified framework to recognize a large number of human actions is still a challenging problem. Recently, Multi-Modal Learning (MML) has demonstrated promising results in this domain. In literature, 2D skeleton or pose modality has often been used for this task, either independently or in conjunction with the visual information (RGB modality) present in videos. However, the combination of pose, visual information, and text attributes has not been explored yet, though text and pose attributes independently have been proven to be effective in numerous computer vision tasks. In this paper, we present the first pose augmented vision-language model (VLM) for VAR. Notably, our scheme achieves an accuracy of 92.81% and 73.02% on two popular human video action recognition benchmark datasets, UCF-101 and HMDB-51, respectively, even without any video data pre-training, and an accuracy of 96.11% and 75.75% after kinetics pre-training. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Value engineering

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Matte based generation of land cover maps 12

Matte based generation of land cover maps

引用

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

作者： Bahirat, Kanchan Chaudhuri, Subhasis Dept. of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9781450316606

A novel supervised technique for the generation of spatially consistent land cover maps based on class-matting is presented in this paper. this method takes advantage of both standard supervised classification technique and natural image matting. It adaptively exploits the spatial contextual information contained in the neighborhood of each pixel through the use of image matting to reduce the incongruence inherent in pixel-wise, radiometric classification of multi-spectral remote sensing data, providing a more spatially homogeneous land-cover map besides yielding a better accuracy. In order to make image matting possible for N-class land cover map generation, we extend the basic alpha matting problem into N independent matting problems, each conforming to one particular class. the user input required for the alpha matting algorithm in terms of initially identifying a few sample regions belonging to a particular class (known as the foreground object in matting) is obtained automatically using the supervised ML classifier. Experimental results obtained on multispectral data sets confirm the effectiveness of the proposed system. © 2012 ACM.

关键词： Pixels

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Distributed Computing and Intelligent Technology 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Stéphane Devismes Partha Sarathi Mandal V. Vijaya Saradhi Bhanu Prasad Anisur Rahaman Molla Gokarna Sharma

ISBN: (数字)9783031505836

ISBN: (纸本)9783031505829

this book constitutes the refereed proceedings of the 20th International conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024.;the 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. the papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). the DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.

关键词： Communications Engineering, Networks image processing and computer vision computer Imaging, vision, Pattern Recognition and graphics Signal, image and Speech processing computer Systems Organization and Communication Networks Special Purpose and Application-Based Systems

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Better guiding the guided range image filter for range-image super-resolution 14

Better guiding the guided range image filter for range-image...

引用

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

作者： Yadav, Mohit Garg, Ram Bhavsar, Arnav Indian Institute of Technology Mandi India

ISBN: (纸本)1595930361

Range-image super-resolution has evolved in recent years to improve the images acquired by low-resolution range-cameras. In this regard, some local filtering based approaches are quite popular as they achieve reasonable quality range-images while maintaining high computational efficiency. In this work, we propose a novel and improved local approach, which is inspired by the popular Guided image Filtering method, that employs information from an associated color image for the task of range-image super-resolution. Our approach accounts for consideration of the content of both color image and range image explicitly, to drive the enhancement process. We show that our filter reduces noise for noisy range-images along with better edge enhancement, especially for higher up-sampling factors. Our experimentation also demonstrate that our approach performs better than other prominent local filtering approaches both in terms of depth precision and spatial resolution without any considerable increase in computational time. Copyright 2014 ACM.

关键词： Computational efficiency

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DAPFormer: Dual-Attention and Pyramid-Aware Network for Medical image Segmentation 15

DAPFormer: Dual-Attention and Pyramid-Aware Network for Medi...

引用

15th International conference on graphics and image processing, ICGIP 2023

作者： Yuan, Yejin Zhang, Hao Xiong, Zhaoyu Qin, Jiacheng Xu, Dan Yunnan University School of Information Science and Engineering Kunming China

ISBN: (纸本)9781510675018

Medical image segmentation aims to categorize pixels into different regions according to their corresponding tissues / organs in medical image. In recent years, due to Transformer's outstanding ability in the field of computer vision, various visual Transformers has been exploited in this task. However, these models often suffer from quadratic complexity in the self-attention and multi-scale information interaction. In this paper, we propose a novel dual attention and pyramid-aware network, DAPFormer, to solve the aforementioned limitations. It effectively combines efficient and channel attention into a dual attention mechanism to capture spatial and inter-channel relationships in the feature dimensions, meanwhile maintains computational efficiency. Additionally, we use pyramid-aware module to redesign the skip connection, modeling the cross-scale dependencies and addressing complex scale variations. Experiments on multi-organ cardiac and skin lesion segmentation datasets demonstrate that DAPFormer outperforms state-of-the-art methods. © 2024 SPIE. All rights reserved.

关键词： Computational efficiency

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Morphology based classification of leukemia cell lines: K562 and MOLT in a microfluidics based imaging flow cytometer 14

Morphology based classification of leukemia cell lines: K562...

引用

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

作者： Gopakumar, G. Sai Subrahmanyam, Gorthi R.K. Siva, Gorthi Sai Department of Earth and Space Sciences Indian Institute of Space Science and Technology Thiruvananthapuram Kerala695547 India Department of Instrumentation and Applied Physics Indian Institute of Science Bangalore Karnataka560012 India

ISBN: (纸本)1595930361

this paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microuidics based Imaging Flow Cytometry (IFC). these two cell lines differ in their internal cell complexity in an IFC image. Each cell is localized by finding a closed cell membrane binding internal organelles. An existing non-iterative graph based contour detection algorithm is extended and is effectively used to segment out the cells. Features reecting the size, circularity and internal cell complexity are extracted and used for classification using linear Support Vector Machine. Copyright is held by the authors.

关键词： Graphic methods

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