Image enhancement for text extraction on mobile application
Images are captured using a mobile phone camera would create 2D image variants, such as uneven lighting, cluttered background and text-like object. Pre-processing of images aim to reduce the noise in the image. In this project, a mobile application on image enhancement is developed. The application...
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Universiti Malaysia Sarawak, (UNIMAS)
2015
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Online Access: | http://ir.unimas.my/id/eprint/39562/1/FIONA%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/39562/4/Fiona%20Kandou%20ft.pdf http://ir.unimas.my/id/eprint/39562/ |
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my.unimas.ir.395622023-08-25T04:14:34Z http://ir.unimas.my/id/eprint/39562/ Image enhancement for text extraction on mobile application Fiona, Kandou. QA76 Computer software Images are captured using a mobile phone camera would create 2D image variants, such as uneven lighting, cluttered background and text-like object. Pre-processing of images aim to reduce the noise in the image. In this project, a mobile application on image enhancement is developed. The application uses a combination of Otsu's Threshold binarization and colour clustering method is proposed to separate the text from the background. Text in images often has a higher intensity or lower intensity than the background. Otsu's binarization is used to convert the image to binary image for a higher contrast between the text and background. However, Otsu's binarization cannot distinguish between different colour pixels that have the similar illumination. Colour clustering is used in conjunction to binarization method as it is able to differentiate the different colour pixels hence eliminating the problem of Otsu's binarization method. Universiti Malaysia Sarawak, (UNIMAS) 2015 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/39562/1/FIONA%20%2824%20pgs%29.pdf text en http://ir.unimas.my/id/eprint/39562/4/Fiona%20Kandou%20ft.pdf Fiona, Kandou. (2015) Image enhancement for text extraction on mobile application. [Final Year Project Report] (Unpublished) |
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QA76 Computer software Fiona, Kandou. Image enhancement for text extraction on mobile application |
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Images are captured using a mobile phone camera would create 2D image variants, such as uneven lighting, cluttered background and text-like object. Pre-processing of images aim to reduce the noise in the image. In this project, a mobile application on image enhancement is developed. The application uses a combination of Otsu's Threshold binarization and colour clustering method is proposed to separate the text from the
background. Text in images often has a higher intensity or lower intensity than the background. Otsu's binarization is used to convert the image to binary image for a higher
contrast between the text and background. However, Otsu's binarization cannot distinguish between different colour pixels that have the similar illumination. Colour clustering is used in conjunction to binarization method as it is able to differentiate the different colour pixels hence eliminating the problem of Otsu's binarization method. |
format |
Final Year Project Report |
author |
Fiona, Kandou. |
author_facet |
Fiona, Kandou. |
author_sort |
Fiona, Kandou. |
title |
Image enhancement for text extraction on mobile application |
title_short |
Image enhancement for text extraction on mobile application |
title_full |
Image enhancement for text extraction on mobile application |
title_fullStr |
Image enhancement for text extraction on mobile application |
title_full_unstemmed |
Image enhancement for text extraction on mobile application |
title_sort |
image enhancement for text extraction on mobile application |
publisher |
Universiti Malaysia Sarawak, (UNIMAS) |
publishDate |
2015 |
url |
http://ir.unimas.my/id/eprint/39562/1/FIONA%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/39562/4/Fiona%20Kandou%20ft.pdf http://ir.unimas.my/id/eprint/39562/ |
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1775627316182908928 |
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13.18916 |