Improved texture discrimination and image segmentation with boundary incorporation

Halford I. Hayes Jr.; Carey E. Priebe; George W. Rogers; David J. Marchette; Jeffrey L. Solka; Richard A. Lorey

doi:10.1117/12.213091

5 July 1995 Improved texture discrimination and image segmentation with boundary incorporation

Halford I. Hayes Jr., Carey E. Priebe, George W. Rogers, David J. Marchette, Jeffrey L. Solka, Richard A. Lorey

Proceedings Volume 2485, Automatic Object Recognition V; (1995) https://doi.org/10.1117/12.213091
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Power law features obtained from fractal dimension analysis have proved to be useful for the discrimination of textures. We consider texture to be a distributed, regional visual effect--an identically distributed random field. Contamination and misclassification occur as the calculations for fractal dimension encompass an area of the image that is not texturally homogeneous. The random field in that region is not identically distributed. Boundary information can be utilized to preserve homogeneity by adapting the subfield being processed. This will improve the texture information near the boundary and can vastly improve the accuracy of the segmentation of the texture regions for scene analysis.

Citation Download Citation

Halford I. Hayes Jr., Carey E. Priebe, George W. Rogers, David J. Marchette, Jeffrey L. Solka, and Richard A. Lorey "Improved texture discrimination and image segmentation with boundary incorporation", Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); https://doi.org/10.1117/12.213091

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