Morphological grayscale reconstruction: definition, efficient algorithm and applications in image analysis
نویسنده
چکیده
Reconstruction is part of a set of morphological image transformations [4] referred to as geodesic [1]. In the binary case, it simply extracts the connected components of a binary image I which are “marked” by an image J contained in I . Reconstruction can be extended to the grayscale case, and the first goal of this paper is to provide a formal definition in this framework. Available techniques to compute reconstruction are then reviewed, and a new powerful algorithm, using both sequential [3] and queue-based [8] methods, is introduced. Finally, applications of grayscale reconstruction to image filtering and segmentation illustrate its interest in image analysis.
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