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| Abstract: | Content Based Image Retrieval is one of the prominent areas in Computer Vision and Image Processing. Recognition of handwritten characters has been a popular area of research for many years and still remains an open problem. The proposed system uses visual image queries for retrieving similar images from database of Malayalam handwritten characters. Local Binary Pattern (LBP) descriptors of the query images are extracted and those features are compared with the features of the images in database for retrieving desired characters. This system with local binary pattern gives excellent retrieval performance |
| Description: | Neural Computing and Applications Vol 21(7),pp 1757-1763 |
| URI: | http://dyuthi.cusat.ac.in/purl/4207 |
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| Content Based I ... Handwritten Characters.pdf | (547.1Kb) |
| Abstract: | Speckle noise formed as a result of the coherent nature of ultrasound imaging affects the lesion detectability. We have proposed a new weighted linear filtering approach using Local Binary Patterns (LBP) for reducing the speckle noise in ultrasound images. The new filter achieves good results in reducing the noise without affecting the image content. The performance of the proposed filter has been compared with some of the commonly used denoising filters. The proposed filter outperforms the existing filters in terms of quantitative analysis and in edge preservation. The experimental analysis is done using various ultrasound images |
| Description: | I.J. Information Technology and Computer Science, 2013, 06, 1-9 |
| URI: | http://dyuthi.cusat.ac.in/purl/4210 |
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| Ultrasound Imag ... ghted Linear Filtering.pdf | (978.9Kb) |
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