Red, orange and yellow are termed as warm colors. A study regarding role of warm colors on visual attention is reported in this paper. Distributions of chromatic features (hue and saturation) are found to be different...
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Social media filters cause various manipulations in the original image. While these manipulations make the images visibly pleasant, they can affect their authenticity and the performance of further image-processing ta...
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Scanners and other acquisition devices are commonly used to capture shapes of real objects as point clouds. Piecewise linear approximations of point clouds are then obtained by reconstruction algorithms. Generic recon...
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Camouaging an object in a photograph is normally performed withthe 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...
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ISBN:
(纸本)1595930361
Camouaging an object in a photograph is normally performed withthe 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.
Detection of text embedded in images and videos is very useful in applications like indexing and retrieval of multimedia content. there exist very few techniques which can differentiate between overlay text which is e...
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ISBN:
(纸本)1595930361
Detection of text embedded in images and videos is very useful in applications like indexing and retrieval of multimedia content. there exist very few techniques which can differentiate between overlay text which is embedded artificially and scene text which occurs naturally in images. this paper proposes an efficient method for detection and localization of overlay text from still images. By using colour filter array(CFA)-based forgery localization method, the proposed technique successfully removes any scene text present in the image. Experimental results on a database of 315images demonstrate the efficiency of the proposed method. Copyright 2014 ACM.
Fully automatic localization of anatomical structures in 2D and 3D radiological data sets is important in bothcomputer aided diagnosis, and the rapid automatic processing of large amounts of data. We present a simple...
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Super-resolving a noisy image is a challenging problem, and needs special care as compared to the conventional super resolution approaches, when the power of noise is unknown. In this scenario, we propose an approach ...
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Parkinson's disease (PD) is a neurodegenerative disorder, which needs to be accurately diagnosed in early stage. Voxel-based morphometry (VBM) has been extensively utilized to determine focal changes between PD pa...
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ISBN:
(纸本)9781450347532
Parkinson's disease (PD) is a neurodegenerative disorder, which needs to be accurately diagnosed in early stage. Voxel-based morphometry (VBM) has been extensively utilized to determine focal changes between PD patients and controls. However, it is not much utilized in differential diagnosis of an individual subject. thus, in this study, VBM findings in conjunction with minimum redundancy maximum relevance (mRMR) method are utilized to obtain a set of relevant and non-redundant features for computeraided diagnosis (CAD) of PD using T1-weighted MRI. In the proposed method, firstly, statistical features are extracted from the clusters obtained from statistical maps, generated using VBM, of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) independently and their different combinations. then mRMR, a multivariate feature selection method, is utilized to find a minimal set of relevant and non-redundant features. Finally, support vector machine is utilized to learn a decision model using the selected features. Experiments are performed on newly acquired T1-weighted MRI of 30 PD patients and 30 age & gender matched controls. the performance is evaluated using leave-one out cross-validation scheme in terms of sensitivity, specificity and classification accuracy. the maximum accuracy of 88.33% is achieved for GM+WM and GM+WM+CSF. In addition, the proposed method outperforms the existing methods. It is also observed that the selected clusters belong to regions namely middle and superior frontal gyrus for GM, inferior, middle frontal gyrus and insula for WM and lateral ventricle for CSF. Further, correlation of UPDRS/H&Y staging scale with GM/WM/CSF volume is observed to be not significant. Appreciable classification performance of the proposed method highlights the potential of the proposed method in CAD support system for the clinicians in PD diagnosis.
We study an efficient texture image segmentation model for multichannel images using a local feature fitting based active contours scheme. Using a chromaticity-brightness decomposition, we propose a flexible segmentat...
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this paper addresses an approach for classification of hyperspectral imagery (HSI). In remote sensing, the HSI sensor acquires hundreds of images with very narrow but continuous spectral width in visible and near-infr...
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