The Experts below are selected from a list of 4059 Experts worldwide ranked by ideXlab platform

Weihua Wang - One of the best experts on this subject based on the ideXlab platform.

  • Reach on Sobel Operator for vehicle recognition
    IJCAI International Joint Conference on Artificial Intelligence, 2009
    Co-Authors: Weihua Wang
    Abstract:

    Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process. Experiments have been conducted for vehicle video. The result shows that the vehicle edge could be detected easily by the Sobel Operator, and the vehicle feature can be extracted in short time. So, the Sobel Operator can be good fit for vehicle type recognition.

  • JCAI - Reach on Sobel Operator for Vehicle Recognition
    2009 International Joint Conference on Artificial Intelligence, 2009
    Co-Authors: Weihua Wang
    Abstract:

    Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And Edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process. Experiments have been conducted for vehicle video. The result shows that the vehicle edge could be detected easily by the Sobel Operator, and the vehicle feature can be extracted in short time. So, the Sobel Operator can be good fit for vehicle type recognition.

Tian Xiang - One of the best experts on this subject based on the ideXlab platform.

  • a weighted Sobel Operator based no reference blockiness metric
    Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.

  • PACIIA (1) - A Weighted Sobel Operator-Based No-Reference Blockiness Metric
    2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.

Zhang Hua - One of the best experts on this subject based on the ideXlab platform.

  • a weighted Sobel Operator based no reference blockiness metric
    Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.

  • PACIIA (1) - A Weighted Sobel Operator-Based No-Reference Blockiness Metric
    2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.

Yi Long - One of the best experts on this subject based on the ideXlab platform.

  • image edge extraction based on fuzzy theory and Sobel Operator
    Computer Supported Cooperative Work in Design, 2016
    Co-Authors: Yulan Liu, Yi Long
    Abstract:

    Image edge detection is a hot topic in the study of image processing and computer vision. Accurate edge information is helpful to the study of high-level image features. However, the image edge information is vague and uncertain. Fuzzy theory is expressed with the imprecise knowledge, and it is one of the effective methods to solve the problem with fuzzy phenomenon. The fuzzy theory and Sobel Operator are combined in this research, and the main idea of the method is summarized as three steps, firstly, the image's gray matrix is converted into fuzzy feature matrix. Secondly, edge information is extruded by fuzzy enhancement. Finally, the image edge is detected by Sobel Operator. The method of extracting image's edge with fuzzy theory has low computational complexity and simple procedure and precise edge information.

  • CSCWD - Image edge extraction based on fuzzy theory and Sobel Operator
    2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016
    Co-Authors: Yulan Liu, Yi Long
    Abstract:

    Image edge detection is a hot topic in the study of image processing and computer vision. Accurate edge information is helpful to the study of high-level image features. However, the image edge information is vague and uncertain. Fuzzy theory is expressed with the imprecise knowledge, and it is one of the effective methods to solve the problem with fuzzy phenomenon. The fuzzy theory and Sobel Operator are combined in this research, and the main idea of the method is summarized as three steps, firstly, the image's gray matrix is converted into fuzzy feature matrix. Secondly, edge information is extruded by fuzzy enhancement. Finally, the image edge is detected by Sobel Operator. The method of extracting image's edge with fuzzy theory has low computational complexity and simple procedure and precise edge information.

Zhou Yiran - One of the best experts on this subject based on the ideXlab platform.

  • a weighted Sobel Operator based no reference blockiness metric
    Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.

  • PACIIA (1) - A Weighted Sobel Operator-Based No-Reference Blockiness Metric
    2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
    Co-Authors: Zhang Hua, Zhou Yiran, Tian Xiang
    Abstract:

    A weighted Sobel Operator-based no-reference perceptual blockiness metric (WSBM) which is used to measure blocking artifacts of DCT coding image, is presented in this paper. The proposed metric calculates the image luminance gradient matrix using Sobel Operator. Based on the matrix, it quantifies the severity of blocking artifacts and the annoyance of large flatness in low bit-rate images. The new approach also takes into account the spatial human visual system (HVS) features, which include the luminance adaptation and texture masking. These processes are individually conducted block by block. Experimental results on various JPEG coded images demonstrate that the new metric is efficient in terms of computational complexity, and its performance is consistent with the subjective evaluation.