首页|Researchers from University of Salford Detail Findings in Pattern Recognition an d Artificial Intelligence (A New Approach for Classification of Spices To Make S pecial Herbal Tea Using Caralluma Fimbriata)
Researchers from University of Salford Detail Findings in Pattern Recognition an d Artificial Intelligence (A New Approach for Classification of Spices To Make S pecial Herbal Tea Using Caralluma Fimbriata)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning - Pa ttern Recognition and Artificial Intelligence have been presented. According to news reporting out of Salford, United Kingdom, by NewsRx editors, research state d, "Classification of multiple types of spice images is automatically challengin g due to conflict between the texture patterns of spice images. This work aims t o develop an automatic system for classifying different types of spice images so that the system can choose an appropriate spice to make herbal tea using Carall uma fimbriata." Our news journalists obtained a quote from the research from the University of S alford, "This work considers the following seven spices, namely, cinnamon, citru s peel, clove, ginger, jeera, kokum, mint, and Caralluma fimbriata as one more c lass for classification. Most of the existing systems need human intervention to choose different spices to make Caralluma fimbriata tea. It is observed that th e pattern of different spice images represents different textures. This observat ion motivated us to extract features based on multi-Sobel kernels. To reduce the number of computations, the proposed work introduces a novel idea of corner det ection based on Gaussian distribution. For each corner, the method performed is multi-Sobel kernels for extracting features. The features are fed to convolution al neural network layers for the classification of multiple spice images."
SalfordUnited KingdomEuropePattern Recognition and Artificial IntelligenceMachine LearningUniversity of Salfor d
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