An Efficient Similarity Measure for Color-Based Image Retrieval
Abstract<br /> Similarity measures are an important factor in the Content-Based Image Retrieval (CBIR). This paper finds the most efficient similarity measure from four image similarity measures. Related work on (CBIR) indicated that these measures have significantly improved the retrieval per...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
College of Education for Pure Sciences
2008-06-01
|
| Series: | مجلة التربية والعلم |
| Subjects: | |
| Online Access: | https://edusj.mosuljournals.com/article_51283_903cd4e755fa9f96010c0ce85f87399f.pdf |
| _version_ | 1818968403041320960 |
|---|---|
| author | Israa Khidher Kais Ismail |
| author_facet | Israa Khidher Kais Ismail |
| author_sort | Israa Khidher |
| collection | DOAJ |
| description | Abstract<br /> Similarity measures are an important factor in the Content-Based Image Retrieval (CBIR). This paper finds the most efficient similarity measure from four image similarity measures. Related work on (CBIR) indicated that these measures have significantly improved the retrieval performance. These measures are the Chi-Squared, The Weighted Mean Variance distance (WMV), The Euclidean distance, and Cosine distance. A sample of 50 colored images is selected from CALTECH visual database. These images were transformed to (HSV) color space. Color features were extracted; these features are the color moments. Experimental results of the proposed work show that the Euclidean distance measure is the most efficient measure for color based image retrieval. |
| first_indexed | 2024-12-20T14:04:08Z |
| format | Article |
| id | doaj.art-9eeb2be394674d86906328f4219d268c |
| institution | Directory Open Access Journal |
| issn | 1812-125X 2664-2530 |
| language | Arabic |
| last_indexed | 2024-12-20T14:04:08Z |
| publishDate | 2008-06-01 |
| publisher | College of Education for Pure Sciences |
| record_format | Article |
| series | مجلة التربية والعلم |
| spelling | doaj.art-9eeb2be394674d86906328f4219d268c2022-12-21T19:38:18ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302008-06-0121212813510.33899/edusj.2008.5128351283An Efficient Similarity Measure for Color-Based Image RetrievalIsraa KhidherKais IsmailAbstract<br /> Similarity measures are an important factor in the Content-Based Image Retrieval (CBIR). This paper finds the most efficient similarity measure from four image similarity measures. Related work on (CBIR) indicated that these measures have significantly improved the retrieval performance. These measures are the Chi-Squared, The Weighted Mean Variance distance (WMV), The Euclidean distance, and Cosine distance. A sample of 50 colored images is selected from CALTECH visual database. These images were transformed to (HSV) color space. Color features were extracted; these features are the color moments. Experimental results of the proposed work show that the Euclidean distance measure is the most efficient measure for color based image retrieval.https://edusj.mosuljournals.com/article_51283_903cd4e755fa9f96010c0ce85f87399f.pdfsimilarity measurecolor-based imageimage retrieval |
| spellingShingle | Israa Khidher Kais Ismail An Efficient Similarity Measure for Color-Based Image Retrieval مجلة التربية والعلم similarity measure color-based image image retrieval |
| title | An Efficient Similarity Measure for Color-Based Image Retrieval |
| title_full | An Efficient Similarity Measure for Color-Based Image Retrieval |
| title_fullStr | An Efficient Similarity Measure for Color-Based Image Retrieval |
| title_full_unstemmed | An Efficient Similarity Measure for Color-Based Image Retrieval |
| title_short | An Efficient Similarity Measure for Color-Based Image Retrieval |
| title_sort | efficient similarity measure for color based image retrieval |
| topic | similarity measure color-based image image retrieval |
| url | https://edusj.mosuljournals.com/article_51283_903cd4e755fa9f96010c0ce85f87399f.pdf |
| work_keys_str_mv | AT israakhidher anefficientsimilaritymeasureforcolorbasedimageretrieval AT kaisismail anefficientsimilaritymeasureforcolorbasedimageretrieval AT israakhidher efficientsimilaritymeasureforcolorbasedimageretrieval AT kaisismail efficientsimilaritymeasureforcolorbasedimageretrieval |