Advance Driving Assistance System (ADAS) has been a growing area of interest in the research community for automotive domain where scene understanding and modeling is one of the principally focus area of activities. T...
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ISBN:
(纸本)9789811021046;9789811021039
Advance Driving Assistance System (ADAS) has been a growing area of interest in the research community for automotive domain where scene understanding and modeling is one of the principally focus area of activities. Texture synthesis using gray-level co-occurrence matrix (GLCM) of any rigid body is not an exceptional task in imageprocessing area. The additional integration of this method is for texture characterization and use it for the road surface classifications which is the primary focus of this paper. We have also introduced that GLCM based road surface analysis in a line scan manner that can be used as a module for ADAS application.
image fusion is the process of combining multiple images of a same scene to single high-quality image which has more information than any of the input images. In this paper, we propose a new fusion approach in a spati...
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ISBN:
(纸本)9789811021046;9789811021039
image fusion is the process of combining multiple images of a same scene to single high-quality image which has more information than any of the input images. In this paper, we propose a new fusion approach in a spatial domain using propagated image filter. The proposed approach calculates the weight map of every input image using the propagated image filter and gradient domain postprocessing. Propagated image filter exploits cumulative weight construction approach for filtering operation. We show that the proposed approach is able to achieve state-of-the-art results for the problem of multi-exposure fusion for various types of indoor and outdoor natural static scenes with varying amounts of dynamic range.
This paper presents an unconventional method of segmenting nontext objects directly from a grayscale document image by making use of connected operators, combined with the Otsu thresholding method, where the connected...
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ISBN:
(纸本)9789811021046;9789811021039
This paper presents an unconventional method of segmenting nontext objects directly from a grayscale document image by making use of connected operators, combined with the Otsu thresholding method, where the connected operators are realized as a maxtree. The maxtree structure is used for a simplification of the image and at a later stage, it is used as a structure from which to extract the desired objects. The proposed solution is aimed at segmenting halftone images, tables, line drawings, and graphs. The solution has been evaluated and some of its shortcomings are highlighted. To the best of our knowledge, this is the first attempt at using connected operators for page segmentation.
image categorization is the process of classifying all pixels of an image into one of several classes. In this paper, we have proposed a novel vision-based method for image categorization is invariant to affine transf...
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ISBN:
(纸本)9789811021046;9789811021039
image categorization is the process of classifying all pixels of an image into one of several classes. In this paper, we have proposed a novel vision-based method for image categorization is invariant to affine transformation and robust to cluttered background. The proposed methodology consists of three phases: segmentation, feature extraction, and classification. In segmentation, an object of interest is segmented from the image. Features representing the image are extracted in feature extraction phase. Finally, an image is classified using multi-class support vector machine. The main advantage of this method is that it is simple and computationally efficient. We have tested the performance of proposed system on Caltech 101 object category and reported 76.14 % recognition accuracy.
In this paper, a local correlation and directive contrast-based multi-focus image fusion technique is proposed. The proposed fusion method is conducted into two parts. In first part, Discrete Wavelet Packet Transform ...
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ISBN:
(纸本)9789811021046;9789811021039
In this paper, a local correlation and directive contrast-based multi-focus image fusion technique is proposed. The proposed fusion method is conducted into two parts. In first part, Discrete Wavelet Packet Transform (DWPT) is performed over the source images, by which low and high frequency coefficients are obtained. In second part, these transformed coefficients are fused using local correlation and directive contrast-based approach. The performance of the proposed method is tested on several pairs of multi-focus images and compared with few existing methods. The experimental results demonstrate that the proposed method provides better results than other existing methods.
Computed tomography (CT) is one of the most widespread radio-logical tools for diagnosis purpose. To achieve good quality of CT images with low radiation dose has drawn a lot of attention to researchers. Hence, post-p...
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ISBN:
(纸本)9789811021046;9789811021039
Computed tomography (CT) is one of the most widespread radio-logical tools for diagnosis purpose. To achieve good quality of CT images with low radiation dose has drawn a lot of attention to researchers. Hence, post-processing of CT images has become a major concern in medical imageprocessing. This paper presents a novel edge-preserving image denoising scheme where noisy CT images are denoised using nonsubsampled contourlet transform (NSCT) and curvelet transform separately. By estimating variance difference on both denoised images, final denoised CT image has been achieved using a variation-based weighted aggregation. The proposed scheme is compared with existing methods and it is observed that the performance of proposed method is superior to existing methods in terms of visual quality, image quality index (IQI), and peak signal-to-noise ratio (PSNR).
Development of a computer-aided diagnosis (CAD) system for early detection of leukemia is very essential for the betterment of medical purpose. In recent years, a variety of CAD system has been proposed for the detect...
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ISBN:
(纸本)9789811021046;9789811021039
Development of a computer-aided diagnosis (CAD) system for early detection of leukemia is very essential for the betterment of medical purpose. In recent years, a variety of CAD system has been proposed for the detection of leukemia. Acute leukemia is a malignant neoplastic disorder that influences a larger fraction of world population. In modern medical science, there are sufficient newly formulated methodologies for the early detection of leukemia. Such advanced technologies include medical imageprocessing methods for the detection of the syndrome. This paper shows that use of a highly appropriate feature extraction technique is required for the classification of a disease. In the field of imageprocessing and machine learning approach, Discrete Cosine Transform (DCT) is a well-known technique. Nucleus features are extracted from the RGB image. The proposed method provides an opportunity to fine-tune the accuracy for the detection of the disease. Experimental results using publicly available dataset like ALL-IDB shows the superiority of the proposed method with SVM classifier comparing it with some other standard classifiers.
Driving through blind curves, especially in mountainous regions or through roads that have blocked visibility due to the presence of natural vegetation or buildings or other structures is a challenge because of limite...
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ISBN:
(纸本)9789811021046;9789811021039
Driving through blind curves, especially in mountainous regions or through roads that have blocked visibility due to the presence of natural vegetation or buildings or other structures is a challenge because of limited visibility. This paper aims to address this problem by the use of surveillance mechanism to capture the images from the blind side of the road through stationary cameras installed on the road and provide necessary information to drivers approaching the blind curve on the other side of the road, thus cautioning about possible collision. This paper proposes a method to tackle blind curves and has been studied for various cases.
The most relevant application of visual tracking is in the field of surveillance and defense, where precision tracking of target with minimal reaction time is of prime importance. This paper examines an approach for r...
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ISBN:
(纸本)9789811021046;9789811021039
The most relevant application of visual tracking is in the field of surveillance and defense, where precision tracking of target with minimal reaction time is of prime importance. This paper examines an approach for reducing the reaction time for target acquisition. Algorithm for auto detection of potential targets under dynamic background has been proposed. Also, the design considerations for visual tracking and control system configuration to achieve very fast response with proper transient behavior for cued target position have been presented which ultimately leads to an integrated quick response visual tracking system.
In an absolute characterization trial, there are no substitutes for the final subtyping of coal quality independent of chemical analysis. Petrology is a specialty that deals with the understanding of the essential cha...
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ISBN:
(纸本)9789811021046;9789811021039
In an absolute characterization trial, there are no substitutes for the final subtyping of coal quality independent of chemical analysis. Petrology is a specialty that deals with the understanding of the essential characteristics of the coal through appropriate chemical, morphological, or porosity analysis. Conventional analysis of coal by a petrologists is subjected to various shortcomings like inter-observer variations during screen analysis and due to different machine utilization, time consuming, highly skilled operator experience, and tiredness. In chemical analysis, use of conventional analyzers is expensive for characterization process. Thus, image analysis serves as an impressive automated characterization procedure of subtyping the coal, according to their textural, morphological, color, etc., features. Coal characterization is necessary for the proper utilization of coal in the power generation, steel, and several manufacturing industries. Thus, in this paper, attempts are made to devise the methodology for an automated characterization and sub-classification of different grades of coal samples using imageprocessing and computational intelligence techniques.
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