Browsing by Author "Spann, M."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Texture feature performance for image segmentationPublication . du Buf, J. M. H.; Kardan, M.; Spann, M.This paper describes a comparative study of texture features, with particular emphasis on the applicability to unsupervised image segmentation. A benchmark test is introduced in which a set of 20 simple bipartite images, combining different stochastic textures separated by a stochastic boundary, is used for feature extraction and segmentation. The accuracy of the segmentation result, expressed in the mean boundary error, is used as an evaluation criterion. From the seven feature extraction methods tested, the Haralick, Laws and Unser methods gave best overall results. Results obtained also show that direct feature statistics such as the Bhattacharyya distance are not appropriate evaluation criteria if texture features are used for image segmentation. A small experiment on visual boundary tracking revealed that boundary error obtained here are similar to those obtained by machine segmentation. © 1990.
- The detection of thin structures in imagesPublication . Spann, M.; Horne, C.; du Buf, J. M. H.An algorithm is presented which extracts thin regions from images. The algorithm requires no a priori knowledge about the region direction, exact width, phase etc. Results on a range of natural imagery are presented. © 1989.