A Hybrid Supervised Classification Method for Multi-Dimensional Images Using Color and Textural Features

DOI Web Site 20 References

Search this article

Description

“HYCLASS”, a new hybrid classification method for multi-dimensional images is proposed. This method consists of two procedures, textural edge detection and texture classification. In the textural edge detection, the maximum likelihood classification (MLH) method is employed to obtain the “color edges”, and morphological filtering technique is employed to convert the color edges into the “textural edges” by sharpening the opened parts of the color edges. In the texture classification, the supervised texture classification method based on normalized Zernike moment vector that the authors have already proposed. An experiment using some simulated texture images is conducted to evaluate the classification accuracy of the HYCLASS. The experimental results show that the HYCLASS can provide reasonable classification results in comparison with those by the conventional classification methods that employ either color feature or textural feature only.

Journal

References(20)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top