Book ChapterDOI
Adaptive structuring elements based on salience information
Vladimir Ćurić,Cris L. Luengo Hendriks +1 more
- pp 321-328
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TLDR
This paper introduces adaptive structuring elements that have predefined shape, but where the size is adjusted to the local image structures, and shows how the new adaptive morphological operations can isolate the text in historical documents.Abstract:
Adaptive structuring elements modify their shape and size according to the image content and may outperform fixed structuring elements. Without any restrictions, they suffer from a high computational complexity, which is often higher than linear with respect to the number of pixels in the image. This paper introduces adaptive structuring elements that have predefined shape, but where the size is adjusted to the local image structures. The size of adaptive structuring elements is determined by the salience map that corresponds to the salience of the edges in the image, which can be computed in linear time. We illustrate the difference between the new adaptive structuring elements and morphological amoebas. As an example of its usefulness, we show how the new adaptive morphological operations can isolate the text in historical documents.read more
Citations
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Adaptive mathematical morphology - A survey of the field
TL;DR: An up-to-date survey on the topic of adaptive mathematical morphology, providing a brief analysis of perspectives and trends within the field, and discussing possible directions for future studies.
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Salience-Based Parabolic Structuring Functions
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Distance Functions and Their Use in Adaptive Mathematical Morphology
TL;DR: A comparison of different shapes in images to determine the extent to which one shape differs from another is usually a desirable step in image analysis.
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Adaptive Hit or Miss Transform
TL;DR: A framework for adaptive Hit or Miss Transform, where structuring elements are adaptive with respect to the input image itself, and can detect particles in single molecule imaging is presented.
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