论文信息 - The Identification of Textured Region Boundaries

The Identification of Textured Region Boundaries

In this paper, we present a novel algorithm which is based on the concept of free angle for the purpose of texture region boundary identification. The input to the algorithm is a grey level image. The output is a binary edge map marking the closed contour boundaries of the textured regions. The algorithm has been tested on several remotely sensed images and gives very good and robust results.

Maria Petrou | K. Krishnasamy

[1] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2] Pierre A. Devijver. Pattern recognition , 1982 .

[3] Peter E. Hart,et al. The condensed nearest neighbor rule (Corresp.) , 1968, IEEE Trans. Inf. Theory.

[4] J. F. O'Callaghan. Human Perception of Homogeneous Dot Patterns , 1974 .

[5] Narendra Ahuja,et al. Extracting Perceptual Structure in Dot Patterns: An Integrated Approach , 1987 .

[6] David C. Hogg,et al. Progress in automatic analysis of multi-temporal remotely-sensed data , 1989 .

[7] Paul G. Ducksbury. Parallel Texture Region Segmentation using a Pearl Bayes Network , 1993, BMVC.

[8] Narendra Ahuja,et al. Dot Pattern Processing Using Voronoi Neighborhoods , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9] John F. O'Callaghan,et al. Computing the perceptual boundaries of dot patterns , 1974, Comput. Graph. Image Process..

[10] David G. Kirkpatrick,et al. On the shape of a set of points in the plane , 1983, IEEE Trans. Inf. Theory.

[11] R. Hummel,et al. Toward a low-level description of dot clusters: Labeling edge, interior, and noise points , 1979 .