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Segmentation-based object categorization

About: Segmentation-based object categorization is a research topic. Over the lifetime, 17942 publications have been published within this topic receiving 386673 citations.


Papers
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Proceedings ArticleDOI
01 Apr 2017
TL;DR: Two different minimization schemes are proposed to obtain a critical point of the non convex functional of the trabecular bone micro structure in in-vivo CT images to solve the joint super resolution/segmentation problem.
Abstract: The analysis of trabecular bone micro structure from in-vivo CT images is still limited due to insufficient spatial resolution. In a previous work, we have investigated the use of super resolution techniques to improve image quality based on a TV based approach. However, the method is limited to recover the bimodal nature of the image. In this work, we investigate the use of a double well non convex constraint to solve the joint super resolution/segmentation problem. Two different minimization schemes are proposed to obtain a critical point of the non convex functional. The two methods improve the reconstruction results on real data.

4 citations

Journal ArticleDOI
TL;DR: An ensemble solution for this problem based on the median concept is proposed and extensive experimental results demonstrate the potential of the proposed median approach for solving the instability problem.
Abstract: The region-based segmentation paradigm is a well known technique for image segmentation. In the first part of this work the robustness of region-based algorithms is studied. It is shown that within a small parameter range, which leads to good segmentation results in the majority of cases, bad segmentation results may occur. In fact, such local instability is a problem of region-based methods and reasons for its occurrence are discussed. In the second part of the work, an ensemble solution for this problem based on the median concept is proposed. Two variants, set median and generalized median, are presented and experimentally compared. Extensive experimental results demonstrate the potential of the proposed median approach for solving the instability problem.

4 citations

Proceedings ArticleDOI
04 Oct 2012
TL;DR: This paper incorporates prior knowledge of blurring degradation into the existing EM/MPM segmentation algorithm in order to improve segmentation results at object boundaries.
Abstract: In this paper, we propose the joint deconvolution and segmentation of materials images by incorporating blurring information in the EM/MPM segmentation algorithm. In the segmentation of microscope images of materials, exact boundary precision is very important. But it is difficult to get good results if the images have some degradation obtained in the acquisition process. We incorporate prior knowledge of blurring degradation into the existing EM/MPM segmentation algorithm in order to improve segmentation results at object boundaries. Experimental results using materials datasets are presented to demonstrate the proposed method is effective for that purpose.

4 citations

Proceedings ArticleDOI
23 Mar 1994
TL;DR: Both the image segmentation and the matching results are improved at the same time making easier the 3-D reconstruction of the facets corresponding to the matched regions.
Abstract: The aim of this work is to develop a method to improve the region segmentation of images by considering each image separately and taking into account the results of the matching process. The method is carried out in several steps. First, an initial region segmentation is computed by using a split-and-merge algorithm cooperating with an edge extractor. Then, a rule-based system is used in order to improve the initial region segmentation. In the second step of the method, the regions of the images are matched by an iterative algorithm; only the reliable matches are performed and for this reason, numerous regions are left unmatched. Then, these regions are treated by another rule-based system by comparing the homologous regions on each image. Both the image segmentation and the matching results are improved at the same time making easier the 3-D reconstruction of the facets corresponding to the matched regions.

4 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023123
2022307
20216
20201
20198
201892