Improved method for local image feature region description
A robust method for local image feature region description was proposed based on the problem of contradiction between performance and dimension of descriptor.First，the local feature region was divided into several subregions according to their intensity order.Then，the method of segmented local featu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015089/ |
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| _version_ | 1841539630082555904 |
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| author | Ren-huan ZHU Qing-wei GAO Yi-xiang LU Dong SUN |
| author_facet | Ren-huan ZHU Qing-wei GAO Yi-xiang LU Dong SUN |
| author_sort | Ren-huan ZHU |
| collection | DOAJ |
| description | A robust method for local image feature region description was proposed based on the problem of contradiction between performance and dimension of descriptor.First，the local feature region was divided into several subregions according to their intensity order.Then，the method of segmented local feature description based on threshold was used to compute the descriptor，and the method of the weighted texture spectrum was used to cumulate the local descriptor.At last，concatenate the descriptors of every subregion together to get the final descriptor of the interest region.This method combined overall information and local information together，and robust to noise when ensure the dimension of descriptor was small.The experimental results show that the proposed descriptor is not only invariant to monotonic intensity changes and image rotation but also robust to many other geometric and photometric transformations. |
| format | Article |
| id | doaj-art-07e7406a35b942959e1794009df48796 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-07e7406a35b942959e1794009df487962025-01-14T06:46:15ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-04-013617918459692666Improved method for local image feature region descriptionRen-huan ZHUQing-wei GAOYi-xiang LUDong SUNA robust method for local image feature region description was proposed based on the problem of contradiction between performance and dimension of descriptor.First，the local feature region was divided into several subregions according to their intensity order.Then，the method of segmented local feature description based on threshold was used to compute the descriptor，and the method of the weighted texture spectrum was used to cumulate the local descriptor.At last，concatenate the descriptors of every subregion together to get the final descriptor of the interest region.This method combined overall information and local information together，and robust to noise when ensure the dimension of descriptor was small.The experimental results show that the proposed descriptor is not only invariant to monotonic intensity changes and image rotation but also robust to many other geometric and photometric transformations.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015089/local featurefeature detectionfeature descriptionrotation invariant |
| spellingShingle | Ren-huan ZHU Qing-wei GAO Yi-xiang LU Dong SUN Improved method for local image feature region description Tongxin xuebao local feature feature detection feature description rotation invariant |
| title | Improved method for local image feature region description |
| title_full | Improved method for local image feature region description |
| title_fullStr | Improved method for local image feature region description |
| title_full_unstemmed | Improved method for local image feature region description |
| title_short | Improved method for local image feature region description |
| title_sort | improved method for local image feature region description |
| topic | local feature feature detection feature description rotation invariant |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015089/ |
| work_keys_str_mv | AT renhuanzhu improvedmethodforlocalimagefeatureregiondescription AT qingweigao improvedmethodforlocalimagefeatureregiondescription AT yixianglu improvedmethodforlocalimagefeatureregiondescription AT dongsun improvedmethodforlocalimagefeatureregiondescription |