Hans Harley Ccacyahuillca Bejar

Hans Harley Ccacyahuillca Bejar
University of São Paulo | USP · Institute of Mathematics and Statistics (IME) (São Paulo)

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7
Publications
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43
Citations

Publications

Publications (7)
Article
In this work, a hierarchical graph partitioning based on optimum cuts in graphs is proposed for unsupervised image segmentation, that can be tailored to the target group of objects, according to their boundary polarity, by extending Oriented Image Foresting Transform (OIFT). The proposed method, named UOIFT, theoretically encompasses as a particula...
Chapter
In this work, a method based on optimum cuts in graphs is proposed for unsupervised image segmentation, that can be tailored to different objects, according to their boundary polarity, by extending the Oriented Image Foresting Transform (OIFT). The proposed method, named UOIFT, encompasses as a particular case the single-linkage algorithm by minimu...
Conference Paper
In graph-based image segmentation, the arc weights are given by a local edge indicator function based on image attributes and prior object information. In boundary tracking methods, an edge integration process combines local edges into meaningful long edge curves, interconnecting a set of anchor points, such that a closed contour is computed for se...
Conference Paper
In graph-based methods, image segmentation can be seen as a graph partition problem between sets of seed pixels. The core of a seed is the region where it can be moved without altering its segmentation. The larger the core, the greater the robustness of the method in relation to its seed positioning. In this work, we present an algorithm to compute...
Article
Full-text available
Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help to alleviate part of this problem. In this work, we discuss how to incorporate this property in the Relative F...
Conference Paper
Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help to alleviate part of this problem. In this work, we discuss how to incorporate this property in the Relative F...

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