In imageprocessing, the inpainting (image restoration) problem is often considered with respect to the interpolation. We involve into the solution of this problem the F-transform-based nonlocal operators that define ...
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In imageprocessing, the inpainting (image restoration) problem is often considered with respect to the interpolation. We involve into the solution of this problem the F-transform-based nonlocal operators that define a new type of functionals, extending the ability of classical PDE-based algorithms in handling textures and repetitive structures. We showed that in the particular space with a fuzzy partition, the nonlocal Laplacian and partial derivatives can be represented by the F~0- and F~1-transforms. For the inpainting problem specified by relatively large damaged areas, we propose a new total variation model with the F-transform-based nonlocal operators. We show that the proposed model together with the corresponding algorithm increase the quality of a (usually considered) patch-based searching algorithm.
This paper aims to propose a novel Organic Computing concept to dealing with the overall issue of automated design of processing pipelines. It is outlined how several methods standing under the Artificial Intelligence...
This paper aims to propose a novel Organic Computing concept to dealing with the overall issue of automated design of processing pipelines. It is outlined how several methods standing under the Artificial Intelligence umbrella are combined to form a technique that can be realized by Organic Computing systems to strengthen their self-configuration property by implementing self-optimization and self-learning techniques. Three envisioned application scenarios are discussed which will serve as first testbeds for the proposed architecture in a future research project: The automated design of 1) a data pre-processing observer component for the refurbishment and the analysis of insufficient quality data to improve the learning ability of employed machine learning algorithms, 2) an imageprocessing pipeline for industrial imaging systems, and, 3) production lines in manufacturing scenarios.
Target recognition is a challenge and one of the most active research areas in computer vision. Variations in image cause many challenges to target recognition system due to change in illumination, noise and detail bl...
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ISBN:
(纸本)9781538657393;9781538657386
Target recognition is a challenge and one of the most active research areas in computer vision. Variations in image cause many challenges to target recognition system due to change in illumination, noise and detail blurring. In this paper, a new approach based on image preprocessing is proposed to speeded up robust features in target recognition. The proposed image preprocessing method improves the global air-light first by using Retinex algorithm of the original image, then a homomorphic filtering scheme is proposed after db2-type wavelet transform. In target recognition, based on speeded up robust feature extraction approach, the feature points are extracted by Hessian operator in the algorithm, then the algorithm gets all the matching pairs by matching threshold. The experiments show that the algorithm can solve the registration accuracy problem under complex conditions, and improve the correction results effectively.
Aiming at the high requirement of real-time and accuracy in moving object detection, this paper designs a moving object detection system based on FPGA. First, the D5M camera is used to capture video images, and then t...
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ISBN:
(纸本)9781538693902
Aiming at the high requirement of real-time and accuracy in moving object detection, this paper designs a moving object detection system based on FPGA. First, the D5M camera is used to capture video images, and then the image is cached into SDRAM memory. The buffered image is detected by background subtraction method based on GMM, and then the processed image is sent to the image display module for display. Matlab, Xlinx ISE and Modelsim are used to complete the hardware design and Simulation of the algorithm. Experimental results show that the designed system can detect moving targets in real time with high accuracy.
Feature extraction and segmentation on multidimensional images is still a tedious task in the field of imageprocessing. images provide depth of reality and featuring the image interactively for which imageprocessing...
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ISBN:
(纸本)9781538623428;9781538623411
Feature extraction and segmentation on multidimensional images is still a tedious task in the field of imageprocessing. images provide depth of reality and featuring the image interactively for which imageprocessing is beneficial for extracting different features from any image by applying various algorithms and obtaining discrete results. These algorithm help to extract features like edges, texture and surface of an image. This paper attempts to evaluate efficiency of different edge detection algorithm and comparison of their result to find out the best operator for Edge Detection Technique.
A real-time video capture and motion recognition system based on FPGA is constructed. Based on the three-frame difference method, the fast median filter module and the Sobel edge detection module are designed. The exp...
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ISBN:
(纸本)9781538693902
A real-time video capture and motion recognition system based on FPGA is constructed. Based on the three-frame difference method, the fast median filter module and the Sobel edge detection module are designed. The experimental results show that the system can detect the moving object successfully, and has a faster detection speed and meets the real-time requirements.
Vehicular traffic is increasing rapidly in this world which is resulting in traffic congestion. The emergency vehicles such as ambulances, fire engines and police vehicles are given equal priority over other vehicles ...
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Vehicular traffic is increasing rapidly in this world which is resulting in traffic congestion. The emergency vehicles such as ambulances, fire engines and police vehicles are given equal priority over other vehicles and hence get stuck up in this traffic congestion. A methodology for priority based vehicle detection based on imageprocessing techniques is proposed in this paper. If an emergency vehicle is detected on the road, the lane in which this vehicle is will be given higher priority over all other lanes. The paper proposes an algorithm which will detect whether a vehicle is an emergency one or not.
This book (CCIS 837)constitutes the refereed proceedings of the Second International conference on Soft Computing systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully revi...
ISBN:
(数字)9789811319365
ISBN:
(纸本)9789811319358
This book (CCIS 837)constitutes the refereed proceedings of the Second International conference on Soft Computing systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully reviewed and selected from439 submissions. The papers are organized in topical sections on soft computing, evolutionary algorithms, imageprocessing, deep learning, artificial intelligence, big data analytics,data minimg, machine learning, VLSI, cloud computing, network communication, power electronics, green energy.
imagery collected with an unmanned aerial vehicle (UAV) in conjunction with imageprocessing provides new sources of environmental intelligence data and can be implemented in river habitat studies. High-resolution RGB...
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imagery collected with an unmanned aerial vehicle (UAV) in conjunction with imageprocessing provides new sources of environmental intelligence data and can be implemented in river habitat studies. High-resolution RGB orthomosaic images with 1 cm/px resolution are generated from RGB images acquired with a UAV. Ground truth mapping of the dominant substrate of the river bottom is then used to classify each spatial region. Several texture parameters are examined using imageprocessing techniques to determine the presence and extent of each of the dominant grain classes, providing a method to classify and map the river bed. The method differentiates between submerged, dry exposed, and vegetated regions. The image cover was classified via application and examination of a variety of pixel-based image classification methods. The highest classification accuracy for pixel based analysis was achieved using the thresholding and masking algorithm which achieved an overall 97% correct classification. In addition, object-based image classification was applied using different grey-level co-occurrence matrices (GLCM) in all directions. The classification accuracy for segmentation based classification was found to be lower, at 61%.
imageprocessing technique has been used to produce automated detection of Sickle Cell Anemia. A Laplacian of Gaussian (LoG) edge detection algorithm computed to detect sickle cells diseases at the early stage in diag...
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ISBN:
(纸本)9781538663288;9781538663271
imageprocessing technique has been used to produce automated detection of Sickle Cell Anemia. A Laplacian of Gaussian (LoG) edge detection algorithm computed to detect sickle cells diseases at the early stage in diagnosing patient. A MATLAB software able to demonstrate the abnormalities of the human Red Blood Cell (RBC) in the single shapes and quantities of sickle cells present in each dataset. A data samples of sickle cells from government Ampang Hospital has contributed this study to validate the results.
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