AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS
<p>The aim of this study is to suggest a method for automatic detection and segmentation of the target objects in the microscopic histology/cytology images. The detection is carried out by rectangular shapes then segmentation process starts utilizing flexible agents which are able to move and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Slovenian Society for Stereology and Quantitative Image Analysis
2013-06-01
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| Series: | Image Analysis and Stereology |
| Subjects: | |
| Online Access: | http://www.ias-iss.org/ojs/IAS/article/view/981 |
| _version_ | 1818931977454092288 |
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| author | Mehdi Alilou Vassili Kovalev |
| author_facet | Mehdi Alilou Vassili Kovalev |
| author_sort | Mehdi Alilou |
| collection | DOAJ |
| description | <p>The aim of this study is to suggest a method for automatic detection and segmentation of the target objects in the microscopic histology/cytology images. The detection is carried out by rectangular shapes then segmentation process starts utilizing flexible agents which are able to move and change their shapes according to a cost function. The agents are rectangular at the beginning then they gradually fit to the corresponding objects using a stochastic reshaping algorithm. The iterative reshaping process is controlled by a cost function and it is resulted in a finer segmentation of the target objects. The cost functional of the proposed method comprised of three terms including the prior shape, regional texture and gradient information. The experiments were carried out using a publicly available microscopy image dataset which contains 510 manually-labeled target cells. The segmentation performance of the proposed method is compared with another state of the art segmentation method. The results demonstrate satisfactory detection and segmentation performance of the proposed method.</p> |
| first_indexed | 2024-12-20T04:25:10Z |
| format | Article |
| id | doaj.art-c825cef1ddbd4621adbf4549b68ed8e3 |
| institution | Directory Open Access Journal |
| issn | 1580-3139 1854-5165 |
| language | English |
| last_indexed | 2024-12-20T04:25:10Z |
| publishDate | 2013-06-01 |
| publisher | Slovenian Society for Stereology and Quantitative Image Analysis |
| record_format | Article |
| series | Image Analysis and Stereology |
| spelling | doaj.art-c825cef1ddbd4621adbf4549b68ed8e32022-12-21T19:53:32ZengSlovenian Society for Stereology and Quantitative Image AnalysisImage Analysis and Stereology1580-31391854-51652013-06-01322899910.5566/ias.v32.p89-99892AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTSMehdi Alilou0Vassili KovalevInstitute of informatics problems, National Academy of Sciences of Belarus<p>The aim of this study is to suggest a method for automatic detection and segmentation of the target objects in the microscopic histology/cytology images. The detection is carried out by rectangular shapes then segmentation process starts utilizing flexible agents which are able to move and change their shapes according to a cost function. The agents are rectangular at the beginning then they gradually fit to the corresponding objects using a stochastic reshaping algorithm. The iterative reshaping process is controlled by a cost function and it is resulted in a finer segmentation of the target objects. The cost functional of the proposed method comprised of three terms including the prior shape, regional texture and gradient information. The experiments were carried out using a publicly available microscopy image dataset which contains 510 manually-labeled target cells. The segmentation performance of the proposed method is compared with another state of the art segmentation method. The results demonstrate satisfactory detection and segmentation performance of the proposed method.</p>http://www.ias-iss.org/ojs/IAS/article/view/981histocytology imagesobject detectionreshapable agentssegmentation |
| spellingShingle | Mehdi Alilou Vassili Kovalev AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS Image Analysis and Stereology histocytology images object detection reshapable agents segmentation |
| title | AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS |
| title_full | AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS |
| title_fullStr | AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS |
| title_full_unstemmed | AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS |
| title_short | AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS |
| title_sort | automatic object detection and segmentation of the histocytology images using reshapable agents |
| topic | histocytology images object detection reshapable agents segmentation |
| url | http://www.ias-iss.org/ojs/IAS/article/view/981 |
| work_keys_str_mv | AT mehdialilou automaticobjectdetectionandsegmentationofthehistocytologyimagesusingreshapableagents AT vassilikovalev automaticobjectdetectionandsegmentationofthehistocytologyimagesusingreshapableagents |