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Articles by A. Imran
Total Records ( 2 ) for A. Imran
  M.R. Tabassum , A.Ul. Gias , M.M. Kamal , S. Islam , H.M. Muctadir , M. Ibrahim , A.K. Shakir , A. Imran , S. Islam , M.G. Rabbani , S.M. Khaled , M.S. Islam and Z. Begum
  Most of the researches done in the fields of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins for face recognition, human motion detection, pornographic and nude image prediction, etc. Although, there are several intensity invariant approaches to skin detection, the skin color of Indian sub-continentals have not been focused separately. The approach of this research is to make a comparative study between three image segmentation approaches using Indian sub-continental human images, to optimize the detection criteria and to find some efficient parameters to detect the skin area from these images. The experiments observed that HSV color model based approach to Indian sub-continental skin detection is more suitable with considerable success rate of 91.1% true positives and 88.1% true negatives.
  A. Imran , M.S. Butt and M.K. Sharif
  Black Tea (Camellia sinensis) is an important source of phytochemicals with proven health benefits. The core objective of the present investigation was to characterize some promising commercial tea brands available in Pakistan for their active ingredients with special reference to flavanols. The results indicated that total phenolic contents were in the range of 26.42 to 29.74 g/100 g liquid tea, while antioxidant activity and DPPH reduction was in the range from 45 to 50 g/100 g liquid tea and 47 to 50 g/100 g liquid tea, respectively. Tea quality parameters including theaflavins, thearubingins, and theabronins were observed to be 1.71−1.79, 1.74−1.83, and 17.05−20.22 g/100 g liquid tea. Likewise, total catechins and caffeine were 1.01−1.28 and 1.22−1.25 g/100 g liquid tea, respectively. Tea extract of commercial brands containing a larger particle size exhibited better quality.
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