In this article, we propose to model the blurred contours by generating the virtual sig-nals from the image, and provide a new viewpoint to de-tect blurred ...

FUZZY CONTOUR CHARACTERIZATION BY SUBSPACE BASED METHODS OF. ARRAY PROCESSING AND DIRECT METHOD ... based segmen- tation methods consider blurred contours as ...

This searching technique is composed of 2-steps, one is core processing and other is post processing. In core processing the local and global feature of each ...

Abstract—Fuzzy paradigm was considered from several aspects in image segmentation. For the first time, we derive a signal processing model out of an image ...

For the first time, we derive a signal processing model out of an image which contains a fuzzy contour. We propose to adapt subspace-based methods of array ...

This work is devoted to the estimation of rectilinear and distorted contours in images by high-resolution methods and associates the proposed method with ...

For the first time, we derive a signal processing model out of an image which contains a fuzzy contour. We propose to adapt subspace-based methods of array ...

Fuzzy contour characterization by subspace based methods of array processing and direct method. 2010, European Signal Processing Conference. Improvement of ...

Fuzzy triangle contour characterization by subspace based methods of array processing. Haiping Jiang (Ecole Centrale Marseille, France); Julien Marot ...

Strongly concave star-shaped contour characterization by ... Fuzzy contour characterization by subspace based methods of array processing and direct method.