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, art...
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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.
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, thes...
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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 demarcat...
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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.
Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the imageprocessing community in the recent years. Two important papers viz...
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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 hum...
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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 techniq...
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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.;...
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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.
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 reasonab...
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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.
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 fiel...
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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 comp...
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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.
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