Multiscale region segmentation of images using nonlinear methods

Balaji Iyer; Malcolm David Macleod

doi:10.1117/12.386610

30 May 2000 Multiscale region segmentation of images using nonlinear methods

Balaji Iyer, Malcolm David Macleod

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386610
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

Region segmentation is the process of identifying the regions within an image, where a region is a group of connected pixels with similar properties. In this paper, we present method of region segmentation using the scale-tree obtained from a datasieve--a recursive non-linear morphological filter. An initial segmentation of the image is done using the scale-tree based region growing method. We show that the properties of the datasieve scale-tree, in conjunction with the scale-tree based region growing method can be used to obtain the features of the objects in the image. The initial segmentation is then followed by post- processing methods for yielding a final segmentation. The results presented for several color images show the methods to be promising.

Citation Download Citation

Balaji Iyer and Malcolm David Macleod "Multiscale region segmentation of images using nonlinear methods", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386610

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