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检索条件"任意字段=9th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2014"

共 85 条记录，以下是11-20 订阅

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Overlapping Cell Nuclei Segmentation in Microscopic images Using Deep Belief Networks 16

Overlapping Cell Nuclei Segmentation in Microscopic Images U...

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10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Duggal, Rahul Gupta, Anubha Gupta, Ritu Wadhwa, Manya Ahuja, Chirag Indraprastha Inst Informat Technol Delhi Dept ECE SBILab New Delhi India AIIMS Dr BRA IRCH Lab Oncol Unit Delhi India Inst Informat Technol Delhi Dept CSE New Delhi India

ISBN: (纸本)9781450347532

this paper proposes a method for segmentation of nuclei of single/isolated and overlapping/touching immature white blood cells from microscopic images of B-Lineage acute lymphoblastic leukemia (ALL) prepared from peripheral blood and bone marrow aspirate. We propose deep belief network approach for the segmentation of these nuclei. Simulation results and comparison with some of the existing methods demonstrate the efficacy of the proposed method.

关键词： Overlapping nuclei segmentation B-ALL Deep Belief Network Machine Learning

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Classification of Schizophrenia Versus Normal Subjects Using Deep Learning 16

Classification of Schizophrenia Versus Normal Subjects Using...

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10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Patel, Pinkal Aggarwal, Priya Gupta, Anubha Indraprastha Inst Informat Technol Delhi IIIT D Dept Elect & Commun Engn SBILab Delhi India

ISBN: (纸本)9781450347532

Motivated by deep learning approaches to classify normal and neuro-diseased subjects in functional Magnetic Resonance Imaging (fMRI), we propose stacked autoencoder (SAE) based 2-stage architecture for disease diagnosis. In the proposed architecture, a separate 4-hidden layer autoencoder is trained in unsupervised manner for feature extraction corresponding to every brain region. thereafter, these trained autoencoders are used to provide features on class-labeled input data for training a binary support vector machine (SVM) based classifier. In order to design a robust classifier, noisy or inactive gray matter voxels are filtered out using a proposed covariance based approach. We applied the proposed methodology on a public dataset, namely, 1000 Functional Connectomes Project Cobre dataset consisting of fMRI data of normal and Schizophrenia subjects. the proposed architecture is able to classify normal and Schizophrenia subjects with 10-fold cross-validation accuracy of 92% that is better compared to the existing methods used on the same dataset.

关键词： Classification Support Vector Machine Stacked Autoencoder Schizophrenia

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Event Recognition in Egocentric Videos Using a Novel Trajectory Based Feature 16

Event Recognition in Egocentric Videos Using a Novel Traject...

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10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Buddubariki, Vinodh Tulluri, Sunitha Gowd Mukherjee, Snehasis IIIT Chittoor Sricity India

ISBN: (纸本)9781450347532

this paper proposes an approach for event recognition in Egocentric videos using dense trajectories over Gradient Flow - Space Time Interest Point (GF-STIP) feature. We focus on recognizing events of diverse categories (including indoor and outdoor activities, sports and social activities and adventures) in egocentric videos. We introduce a dataset with diverse egocentric events, as all the existing egocentric activity recognition datasets consist of indoor videos only. the dataset introduced in this paper contains 102 videos with 9 different events (containing indoor and outdoor videos with varying lighting conditions). We extract Space Time Interest Points (STIP) from each frame of the video. the interest points are taken as the lead pixels and Gradient-Weighted Optical Flow (GWOF) features are calculated on the lead pixels by multiplying the optical flow measure and the magnitude of gradient at the pixel, to obtain the GF-STIP feature. We construct pose descriptors with the GF-STIP feature. We use the GF-STIP descriptors for recognizing events in egocentric videos with three different approaches: following a Bag of Words (BoW) model, implementing Fisher Vectors and obtaining dense trajectories for the videos. We show that the dense trajectory features based on the proposed GF-STIP descriptors enhance the efficacy of the event recognition system in egocentric videos.

关键词： GWOF Dense Trajectories Event Recognition First Person Egocentric

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Scale-invariant image inpainting using gradient-based image composition 10

Scale-invariant image inpainting using gradient-based image ...

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10th indian conference on computer vision, graphics and image processing, icvgip 2016

作者： Ghorai, Mrinmoy Samanta, Soumitra Chanda, Bhabatosh Indian Statistical Institute Kolkata India

In this paper, we propose a novel scale-invariant image inpainting algorithm that combines several inpainted images obtained from multiple pyramids of different coarsest scales. To achieve this, first we build the pyramids and then we run an image inpainting algorithm individually on each of the pyramids to obtain different inpainted images. Finally, we combine those inpainted images by a gradient based approach to obtain the final inpainted image. the motivation of this approach is to solve the problem of appearing artifacts in traditional single pyramid-based approach since the results depend on the starting scale of the pyramid. Here we assume that most of the inpainted images produced by the pyramids are quite good. However, some of them may have artifacts and these artifacts are eliminated by gradient based image composition. We test the proposed algorithm on a large number of natural images and compare the results with some of the existing methods to demonstrate the efficacy and superiority of the proposed method. © Springer International Publishing AG 2017.

关键词： image processing

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Multispectral multifocus image fusion with guided steerable frequency and improved saliency 14

Multispectral multifocus image fusion with guided steerable ...

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

作者： Banerjee, Sudipta Gangapure, Vijay N. Chowdhury, Ananda S. Department of ETCE Jadavpur University Kolkata India

ISBN: (纸本)1595930361

Multispectral multifocus image fusion remains a challenging problem for the researchers in the computer vision community. In this paper, we propose a novel solution to the above problem using guided filtering, steerable local frequency and an improved model of saliency. In the first place, promising fusion results are obtained through guided steerable local frequency maps. An accurate saliency map is developed next to further enhance these fusion results. Extensive experimentation on the visual, near infrared and thermal spectra clearly demonstrate the superiority of the proposed approach over some of the recently published works. Copyright 2014 ACM.

关键词： image fusion

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Duplication detection for image sharing systems 14

Duplication detection for image sharing systems

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

作者： Mukherjee, Jit Aswatha, Shashaank M. Mondal, Prasenjit Mukherjee, Jayanta Mitra, Pabitra Indian Institute of Technology Kharagpur India

ISBN: (纸本)1595930361

Duplication of images is a common occurrence in community based data sharing systems. An image of the same scene, residing as multiple copies in the system, introduces redundancy. this paper describes a novel technique to detect such submissions by matching the Speeded Up Robust Features (SURF) of a query image to the feature set of images in the database, which are pre-computed, dimensionality reduced, and indexed. First, a set of similar images is obtained with their feature key-point correspondences by computing homography. An occurrence of duplication is verified by statistical hypothesis testing, which considers the distribution obtained by inter-key-point Euclidean distance ratios between the corresponding key-points among the query and candidate images. Copyright 2014 ACM.

关键词： Query processing

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Camouflaging motion blur: Art or science? 14

Camouflaging motion blur: Art or science?

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

作者： Rao, M. Purnachandra Prabhu, Sahana M. Rajagopalan, A.N. Seetharaman, Guna Department of Electrical Engineering Indian Institute of Technology Madras India Information Directorate AFRL RIEA RomeNY United States

ISBN: (纸本)1595930361

Camouaging an object in a photograph is normally performed with the intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with special relevance to non-uniformly blurred images. Given a blurred photograph, we apply a suitably derived blurring model to smear a target object and naturally blend it into the motion blurred background by using alpha matting. We validate our photo-realistic compositing approach on several synthetic and real examples. Copyright 2014 ACM.

关键词： Photography

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Compression of noisy depth image using planes 14

Compression of noisy depth image using planes

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

作者： Modi, Kanika Kalra, Prem K. Kumar, Subodh Department of Computer Science and Engineering Indian Institute of Technology Delhi India

ISBN: (纸本)1595930361

this paper investigates compression of depth images-particularly, noisy depth images-captured by depth sensors like Kinect. Our scheme is based on incrementally detecting planes in depth images and then storing the plane parameters instead of the depth information of the pixels lying on the detected planes. Residuals are then computed and compressed using standard image compression techniques. Our technique incorporates the input error model for comprehensive and accurate plane detection. thereby, this accounts for the reliability of the input data in the compression scheme. the plane detection also accounts for edges. Experiments exhibit better image quality than standard compression techniques with smaller error. We additionally propose a novel error metric to evaluate compression of noisy depth images. Copyright is held by the authors.

关键词： image compression

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Color image retrieval using color histogram and orthogonal combination of linear binary pattern 14

Color image retrieval using color histogram and orthogonal c...

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

作者： Kaur, Kanwal Preet Singh, Chandan Bhullar, Ekta Walia Department of Computer Science Punjabi University Patiala147002 India Department of Computer Science South Asian University New Delhi110021 India

ISBN: (纸本)1595930361

Color, texture, and shape are the low level features required for an effective image retrieval system. In this paper, we propose a hybrid approach which performs the fusion of color and texture features for image retrieval. the color features are extracted by using the well known color histogram technique, while the texture features are captured using recently proposed features, known as orthogonal combination of linear binary pattern (OCLBP). the performance of the proposed approach is compared with a recently developed method, color difference histogram (CDH). Performance evaluation through extensive experiments reveals the superiority of the proposed approach over the state-of-the-art technique.

关键词： Color

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Multiscale intuitionistic fuzzy roughness measure for color image segmentation 14

Multiscale intuitionistic fuzzy roughness measure for color ...

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

作者： Dubey, Yogita K. Mushrif, Milind M. Nehare, Prajakta R. Department of Electronics and Telecommunication YCCE Nagpur India Department of Electronics and Communication SDMP Nagpur India

ISBN: (纸本)1595930361

In this paper, a method for color image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. the traditional roughness measure tends to over focus on the little important homogeneous regions but is not accurate enough to measure the homogeneity in an image. By applying the theories of scale space and using intuitionistic fuzzy representation for images, roughness is measured under multiple scales. Multiscale representation can tolerate the disturbance of trivial regions, and intuitionistic fuzzy representation deals with hesitancy in image boundary, therefore produces precise segmentation results. Copyright 2014 ACM.

关键词： Fuzzy sets

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