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Automatic Segmentation and Classification of Outdoor Images using Neural Networks

N. W. Campbell, B. T. Thomas, T. Troscianko , Automatic Segmentation and Classification of Outdoor Images using Neural Networks. International Journal of Neural Systems, 8 (1). ISSN 0129-0657, pp. 137–144. February 1997. PDF, 740 Kbytes.

Abstract

The paper describes how neural networks may be used to segment and label objects in images. A self-organising feature map is used for the segmentation phase, and we quantify the quality of the segmentations produced as well as the contribution made by colour and texture features. A multi-layer perceptron is trained to label the regions produced by the segmentation process. It is shown that 91.1% of the image area is correctly classified into one of eleven categories which include cars, houses, fences, roads, vegetation and sky.

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