Scene illumination classification using illumination histogram analysis and neural network
This study proposed a classification method to classify the considered image in the most similar illumination cluster rather than estimating an illumination value. This method categorizes the images based on inherent illumination data of scene and statistical features extracted from illumination his...
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| creator | Hesamian, M. H. Mashohor, S. Saripan, M. I. Wan Adnan, W. A. |
| description | This study proposed a classification method to classify the considered image in the most similar illumination cluster rather than estimating an illumination value. This method categorizes the images based on inherent illumination data of scene and statistical features extracted from illumination histogram of image. It has advantages of high accuracy and flexibility of defining the classes. A trained neural network is taken into account in order to classify the image into predefined groups. Finally, for performance and accuracy evaluation we use misclassification error percentages and Mean Square Error (MSE). |
| doi_str_mv | 10.1109/ICCSCE.2013.6719976 |
| format | Conference Proceeding |
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Finally, for performance and accuracy evaluation we use misclassification error percentages and Mean Square Error (MSE).</description><subject>Algorithm design and analysis</subject><subject>Classification algorithms</subject><subject>Feature extraction</subject><subject>histogram analysis</subject><subject>Histograms</subject><subject>Illumination classification</subject><subject>Image color analysis</subject><subject>Lighting</subject><subject>neural network</subject><subject>Neural networks</subject><isbn>1479915068</isbn><isbn>9781479915088</isbn><isbn>1479915084</isbn><isbn>9781479915064</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj7FOwzAURc2ABJR-QZf8QMJzbMd-I4oKVKrEUFhYqpfELgbHQXEi1L-nUrswnXuloytdxlYcCs4BHzZ1vavXRQlcFJXmiLq6YndcakSuoDI3bJnSFwBwrZWS5pZ97FobbeZDmHsfafJDzNpAKXnn23Odk4-H_8anT9NwGKnPKFI4Jp9OocuinUcKJ0y_w_h9z64dhWSXFy7Y-9P6rX7Jt6_Pm_pxm_tSiSlHg44bKAFshQ6kEaLDxjppSkeIHZXYNtKCcwaEFY3WpIzUxhjZKnQkFmx13vXW2v3P6Hsaj_vLffEHq_dTQA</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Hesamian, M. 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A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Scene illumination classification using illumination histogram analysis and neural network</atitle><btitle>2013 IEEE International Conference on Control System, Computing and Engineering</btitle><stitle>ICCSCE</stitle><date>2013-11-01</date><risdate>2013</risdate><spage>290</spage><epage>295</epage><pages>290-295</pages><eisbn>1479915068</eisbn><eisbn>9781479915088</eisbn><eisbn>1479915084</eisbn><eisbn>9781479915064</eisbn><abstract>This study proposed a classification method to classify the considered image in the most similar illumination cluster rather than estimating an illumination value. This method categorizes the images based on inherent illumination data of scene and statistical features extracted from illumination histogram of image. It has advantages of high accuracy and flexibility of defining the classes. 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| ispartof | 2013 IEEE International Conference on Control System, Computing and Engineering, 2013, p.290-295 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Classification algorithms Feature extraction histogram analysis Histograms Illumination classification Image color analysis Lighting neural network Neural networks |
| title | Scene illumination classification using illumination histogram analysis and neural network |
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