V. Asha

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In this paper, we propose a machine vision algorithm for automatically detecting defects in textures belonging to 16 out of 17 wallpaper groups using texture-periodicity and a family of Gabor wavelets. Input defective images are subjected to Gabor wavelet transformation in multi-scales and multi-orientations and a resultant image is obtained in L2 norm. The(More)
— Similarity measures are widely used in various applications such as information retrieval, image and object recognition, text retrieval, and web data search. In this paper, we propose similarity-based methods for defect detection on patterned textures using five different similarity measures, viz., and Cosine-angle Coefficient. Periodic blocks are(More)
— Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of histogram of gray-level co-occurrence matrix (GLCM) that is based on second-order statistics and propose a(More)
BACKGROUND This study assessed the correlation between nicotine dependence and salivary cotinine levels in tobacco chewers and checked the reliability of Fagerstorm test in tobacco cessation programmes. METHODS The study sample included 75 tobacco chewers aged between 20 to 50 years. Self-reported nicotine dependence was evaluated using Fagerstorm Test(More)
Exophytic growth of the oral cavity often presents a diagnostic challenge because a diverse group of the pathologic process can produce such lesions. Inflammatory hyperplasia is one of the important etiology behind the exophytic growths of the oral cavity. The pyogenic granuloma (PG) is the most common type of inflammatory hyperplasia found in the oral(More)
— In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Gradient space image is obtained from the input defective image and is split into several blocks of size same as that of the periodic unit of the input defective image. Energy of the gradient space(More)
Periodicity of a texture is one of the important visual characteristics and is often used as a measure for textural discrimination at the structural level. Knowledge about periodicity of a texture is very essential in the field of texture synthesis and texture compression and also in the design of frieze and wall papers. In this paper, we propose a method(More)
—In this paper, we propose a new machine vision algorithm for automatic defect detection on patterned textures with the help of texture-periodicity and the Jensen-Shannon Divergence, which is a symmetrized and smoothed version of the Kullback-Leibler Divergence. Input defective images are split into several blocks of the same size as the size of the(More)