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12th IEEE International New Circuits and Systems Conference (IEEE NEWCAS)

作者： Ben Cheikh, Taieb Lamine Nicolescu, Gabriela Trajkovic, Jelena Bouchebaba, Youcef Paulin, Pierre Ecole Polytech Dept Comp Engn Montreal PQ Canada Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada Synopsys Inc Ottawa ON Canada

ISBN: (纸本)9781479948857

Image processing and computer vision applications are used intensively in several domains in particular multimedia and medicine. The main challenge in developing such applications is how to guarantee both high accuracy and low execution time. Accordingly, we observe two research directions: the first focuses on improving the algorithms and the second focuses on designing fast hardware platforms. In this paper, we propose an efficient parallel implementation of an accurate extended Canny edge detection algorithm suitable for medical applications on embedded many-core platform. The proposed implementation is running at a frame rate of 10 frames/s for image size of 512x512 with high accurate and smooth line edges.

关键词： Accuracy Computer architecture Fabrics Graphics processing units Hardware Image edge detection Real-time systems Edge detection Computer Architecture real-time systems Canny edge detector Textile fabrics fabric Computer hardware Graphics Processing Unit boundary detection algorithm Fasting Frame Rate IMAGE SIZE

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Edge detection based on mathematical morphology and iterative thresholding

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International Conference on Computational-Intelligence and Security

作者： Bai, Xiangzhi Zhou, Fugen Beihang Univ Image Proc Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9783540743767

Edge detection is a crucial and basic tool in image segmentation. The key of edge detection in gray image is to detect more edge details, reduce the noise impact to the largest degree, and threshold the edge image automatically. According to this, a novel edge detection method based on mathematic morphology and iterative thresholding is proposed in this paper. A modified morphological transform through regrouping the priorities of several morphological transforms based on contour structuring elements is realized first, and then an edge detector is defined by using the multi-scale operation of the modified morphological transform to detect the gray-scale edge map. Finally, a new iterative thresholding algorithm is applied to obtain the binary edge image. Comparative study with other morphological methods reveals its Superiority over de-noising capacity, edge details protection and un-sensitivity to the shape of the structuring elements.

关键词： Edge detection edge image boundary detection algorithm mathematical morphology structuring element grayscale images Iterative Transform image segmentation

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Transparent text detection and background recovery

Transparent text detection and background recovery

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2nd IAPR Asian Conference on Pattern Recognition (ACPR)

作者： Liu, Xinhao Chiba, Naoki Tokyo Inst Technol Grad Sch Sci & Engn Tokyo 152 Japan Rakuten Inc Rakuten Inst Technol Tokyo Japan

ISBN: (纸本)9781479921904

We propose two methods for detecting transparent text in images and recovering the background behind the text. Although text detection in natural scenes is an active research area, most current methods are focused on non-transparent text. To detect transparent text, we developed an adaptive edge detection method for edge-based text detection that can accurately detect text even under low contrast, which is common among transparent text images and a method for recovering the original background content behind the detected transparent text. Experiments using real images show the effectiveness of the proposed methods.

关键词： texts Hyalin natural scenes boundary detection algorithm images

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Digital Image Watermarking using Edge detection and Wavelets with Robustness Analysis against JPEG Compression Attacks

Digital Image Watermarking using Edge Detection and Wavelets...

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International Conference on Innovations in Information Technology

作者： Senthil, V. Bhaskaran, R. Thiagarajar Sch Management Dept MCA Madurai Tamil Nadu India Madurai Kamaraj Univ Sch Math Madurai Tamil Nadu India

ISBN: (纸本)9781424433964

In this paper we analyze the robustness of watermarking method in still images using Haar, Daubecheies and Biorthogonal wavelets. The embedding process uses a canny edge detection method and hides the watermark with the perceptual considerations on different modalities of images. The extraction scheme uses non-blind method to retrieve the watermark. We simulate the JPEG Compression attack with different quality standards to check the robustness and prove the authenticity of the digital content.

关键词： Edge detection wavelets JPEG Watermarking Quality standards Still images boundary detection algorithm biorthogonal wavelet Robustness digital image watermarking Digital content

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Rapid Vehicle Edge detection Based on Cellular Neural Network 10

Rapid Vehicle Edge Detection Based on Cellular Neural Networ...

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10th International Conference on Natural Computation (ICNC)

作者： Hao, Deshui Ji, Luping Zhou, Long Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China

ISBN: (纸本)9781479951512

This paper presents a rapid edge detection method for vehicle using the two-dimensional cellular neural network (CNN). In the method, two adaptive templates for edge detection are experimentally designed, and background noise elimination is also concerned. Finally, the performance of the proposed CNN detector is evaluated on different vehicle images, and it is also compared with some other edge detectors. Simulation experiment results shows that the CNN method could achieve good performance in vehicle edge detection.

关键词： Cellular neural networks Detectors Digital images Image edge detection Noise Particle swarm optimization Vehicles Edge detection Cellular neural networks vehicle Digital images Particle swarm optimization Noise boundary detection algorithm detector

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Target contour extraction for ship borne active range-gated imaging

Target contour extraction for ship borne active range-gated ...

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Conference on Optoelectronic Imaging and Multimedia Technology II

作者： Liu Chao Cao Yinan Wang Xinwei Zhou Yan Liu Yuliang Chinese Acad Sci Inst Semicond Lab Optoelect Syst Beijing 100083 Peoples R China

ISBN: (纸本)9780819493132

Target acquisition is of great importance for ship borne range-gated night vision system which can achieve target finding, target tracing and ranging. A digital image processing algorithm is developed for the mentioned night vision equipment above. Target contour is extracted using Canny edge detection algorithm based on self-adapted Otsu threshold segmentation. Furthermore, edge thinning, edge connection and morphologic methods are implemented to ameliorate the acquired contour. Pixels inside the contour are collected utilizing horizontal-vertical traverse. After ship targets from range-gated equipment being all tested, target contour and inner pixels can both be acquired through this algorithm.

关键词： boundary detection algorithm Ships contour Night vision goggles TARGET ACQUISITION Targets Edge detection edge thinning pixel

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A simple and efficient multiscale edge detection method based on image diffusion

A simple and efficient multiscale edge detection method base...

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Workshop on Intelligent Information Technology Application (IITA 2007)

作者： Zhang Yingjie Ge Liling Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Shaanxi Peoples R China Xian Univ Technol Sch Mat Engn Xian 710048 Peoples R China

ISBN: (纸本)9780769530635

In this paper, a fast multi-scale edge detection approach is proposed based on the theories of image diffusion and curve evolution. In comparison with the previous edge detection approaches, edge detection is performed in two steps: beginning by detecting the initial contours at a courser scale that is performed by using a linear diffusion coupling with the denoising effect and gray transformation, then the obtained contour curves are mapped and further refined up to finer scales using the fast Hermes algorithm. By this way, (he experimental results show that the proposed edge detection approach are more promising than the existing methods for object detection on general images, especially on medical images.

关键词： edge detection image colour analysis curve evolution fast Hermes algorithm gray transformation image diffusion initial contour detection linear diffusion coupling multiscale edge detection Edge detection image colour analysis boundary detection algorithm

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A single threshold edge detection algorithm based on multiscale fusion

A single threshold edge detection algorithm based on multisc...

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International Conference on Computational-Intelligence and Security

作者： Wan Yue-Liang Cao Yuan-Da Li Dun Beijing Inst Technol Sch Comp Sci & Engn Beijing 100081 Peoples R China

ISBN: (纸本)9781424406043

Edge detection based on multiscale wavelet transform is one of the important algorithms in images edge detection. In large scale it is strongly anti-noise, and in small scale it can accurately locate edge. In order to exploit both advantages, a new single threshold edge detection method based on edgefusion is developed using finite element Method (FEM) multiscale wavelet transform. Firstly, edge effective envelope is developed, in the range of effective edge envelop, using FEM track algorithms for edge fusion and detection to local edge point according to FEM cell topology. Secondly, A single threshold is used for accurate locate edge of detection. The validly of the algorithm is proved by experiments on both synthetic and natural image.

关键词： boundary detection algorithm Edge detection edge pixel Edge of a figure or solid edges wavelet transforms Finite element method model cars algorithms Fusion reactions Fusion, biological FUSION fusion (melting) SYNTHETICS antinoise

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SAR image despeckling in directionlet domain based on edge detection

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ELECTRONICS LETTERS 2013年第6期49卷 422-423页

作者： Sethunadh, R. Thomas, T. Indian Space Res Org Trivandrum 695022 Kerala India Cochin Univ Sci & Technol Cochin 682022 Kerala India

Presented is a novel directionally adaptive despeckling algorithm for a SAR image using a multi-direction anisotropic wavelet transform, called a directionlet. It efficiently extracts edge information along dominant directions from the spatially segmented SAR image. Then an optimal scale dependent subband adaptive threshold, based on the generalised cross-validation technique, is applied to the edge removed image. The despeckled image is finally synthesised using the extracted edge information to preserve the sharpness of edges and the texture. The proposed scheme outperforms many of the traditional despeckling schemes such as the Lee filter and the wavelet and bandlet based edge detection methods in terms of numeric and perceptual quality.

关键词： Synthetic aperture radar Lee filter Edge of a figure or solid Edge detection wavelets boundary detection algorithm Radar polarimetry Image wavelet transforms Rescue Specific absorption rate

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Adaptive Weighted Morphology detection algorithm of Plane Object in Docking Guidance System

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2010年第2期7卷 99-104页

作者： Guo yan-ying Yang guo-qing Jiang li-hui Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China Civil Aviat Univ China Tianjin Key Lab Adv Signal Proc Tianjin Peoples R China

In this paper, we presented an image segmentation algorithm based on adaptive weighted mathematical morphology edge detectors. The performance of the proposed algorithm has been demonstrated on the Lena image. The input of the proposed algorithm is a grey level image. The image was first processed by the mathematical morphological closing and dilation residue edge detector to enhance the edge features and sketch out the contour of the image, respectively. Then the adaptive weight SE operation was applied to the edge-extracted image to fuse edge gaps and hill up holds. Experimental results show it can not only primely extract detail edge, but also superbly preserve integer effect comparative to classical edge detection algorithm.

关键词： Edge detection image segmentation algorithm Guidance systems Berthing hills Self tuning boundary detection algorithm Image detection algorithms Edge of a figure or solid

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