Abstract
A visualization method for representation of 3D object shape complexity based on the proposed wavelet descriptor is proposed together with its application to image retrievals. Image retrieval method using wavelet descriptor of shape information together with hue and texture information of objects extracted with dyadic wavelet transformation is proposed. Although there are conventional methods for image retrievals with hue and texture information, image retrieval performance (hit ratio) is not so high. Therefore, the proposed method uses shape information derived from objects extracted from original images in addition to the hue and texture information. To extract object, dyadic wavelet transformation is used to find good focusing image area extraction as objects. Experimental results with several kinds of phytoplankton show some improvement of hit ratio as well as Euclidean distance among images.
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Notes
HH denotes high-frequency component in horizontal direction and high-frequency component in vertical direction.
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Arai, K. Visualization of 3D object shape complexity with wavelet descriptor and its application to image retrievals. J Vis 15, 155–166 (2012). https://doi.org/10.1007/s12650-011-0118-6
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DOI: https://doi.org/10.1007/s12650-011-0118-6