Texture classification of segmented regions of forward-looking infrared images

John F. Haddon; James Frederick Boyce

doi:10.1117/12.161432

20 October 1993 Texture classification of segmented regions of forward-looking infrared images

John F. Haddon, James Frederick Boyce

Proceedings Volume 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition; (1993) https://doi.org/10.1117/12.161432
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

This paper presents new techniques for the texture classification of regions based on edge co- occurrence matrices and discrete Hermite functions which are used to describe them. The paper briefly defines co-occurrence matrices and how they can be used to describe the relationship of edges around a pixel. Texture is interpreted as a measure of the edginess about a pixel and is described by edge co-occurrence matrices. The texture of the region is characterized by an orthogonal decomposition of the co-occurrence matrix using 2-dimensional discrete Hermite functions. The coefficients of this decomposition provide a low order feature vector which can be used for texture classification. The coefficients of the Hermite functions used in the decomposition of the co-occurrence matrix are analyzed by two neural network classifiers: the multilayer perceptron and the cascade correlation. Experiments have been performed for the training and validation of the networks on two types of terrain (grass and trees) taken from FLIR images during a low level approach to a bridge.

Citation Download Citation

John F. Haddon and James Frederick Boyce "Texture classification of segmented regions of forward-looking infrared images", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); https://doi.org/10.1117/12.161432

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KEYWORDS

Neural networks

Matrices

Image segmentation

Image classification

Forward looking infrared

Image processing

Network architectures

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