Novel 2-D histogram-based soft thresholding for brain tumor detection and image compression
The objective of image compression is to extract meaningful clusters in a given image. Significant groups are possible with absolute threshold values. 1-D histogram-based multilevel thresholding is computationally complex, and reconstructed image visual quality is comparatively low because of equal...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/72646 |
| Acceso en línea: | https://hdl.handle.net/10230/72646 http://dx.doi.org/10.4018/IJAMC.292497 |
| Access Level: | acceso abierto |
| Palabra clave: | 2-D Histogram Genetic algorithm Image compression Image thresholding Particle swarm optimization Ryeni entropy, Symbiotic organisms search |
| Sumario: | The objective of image compression is to extract meaningful clusters in a given image. Significant groups are possible with absolute threshold values. 1-D histogram-based multilevel thresholding is computationally complex, and reconstructed image visual quality is comparatively low because of equal distribution of energy over the entire histogram plan. So, 2-D histogram-based multilevel thresholding is proposed in this paper by maximizing the Renyi entropy with a novel hybrid genetic algorithm, particle swarm optimization, and symbiotic organisms search (hGAPSO-SOS), and the obtained results are compared with state-of-the-art optimization techniques. Recent study reveals that PSNR fails in measuring the visual quality because of mismatch with the objective mean opinion scores (MOS). So, the authors incorporate a weighted PSNR (WPSNR) and visual PSNR (VPSNR). Experimental results examined on magnetic resonance images of brain and results with 2-D histogram reveal that hGAPSO-SOS method can be efficiently and accurately used in multilevel thresholding problem. |
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