Segmentation of objects in images of natural colored surfaces

Antonio F. Limas Serafim

doi:10.1117/12.248542

26 August 1996 Segmentation of objects in images of natural colored surfaces

Antonio F. Limas Serafim

Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996) https://doi.org/10.1117/12.248542
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

This paper deals with a global method for color image segmentation based on the histogram analysis and using a scale space approach. Histograms continue to be an important global feature for image segmentation and several techniques have been applied to get information from it. Scale space filtering (SSF) has been a very useful descriptor to relate the signal at different scales. The signal's features extraction has been done by convolving it with some special purpose functions whose results shows conservative for certain signal properties all the way through the scale space to zero-scale. One such well-behaved function has been the Gaussian parameterized by its standard deviation, sigma, and the selected signal's feature has been the zero-crossing of the second derivative of the convolved function. The representation of this zero-crossing on the sigma, x space is called fingerprint. Fingerprint analysis has been the subject of various methods, however no one seems to get the best of the SSF approach. In this paper a method is followed based on the interval tree of the fingerprint and on a new decision function to get the active nodes for region segmentation on the histogram. In this paper a method is described and discussed that takes into account the percentage of losses of pixels between histogram's peaks. This criterion competes with that of Liu which is based on the ratio of the sigma-height of the father to the children peaks, defined on each branch of the interval tree. The results obtained with colored images whose objects feature a very close hue show very promising for a finer segmentation method, based on the histogram analysis.

Citation Download Citation

Antonio F. Limas Serafim "Segmentation of objects in images of natural colored surfaces", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); https://doi.org/10.1117/12.248542

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