Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by M.G. Rabbani
Total Records ( 2 ) for M.G. Rabbani
  M.A. Maya , M.G. Rabbani , M.G. Mahboob and Y. Matsubara
  Genetic relationship among 15 citrus fruits (one from the genus Poncirus and the rest from the genus Citrus) was assessed using Randomly Amplified Polymorphic DNA (RAPD) markers. Seven primers were selected after screening of 39 decamer primers which generated 91 clear and bright polymorphic bands. The Unweighted Pair-group Method using Arithmetic averages (UPGMA) dendrogram based on Nei’s genetic distance segregated 15 citrus fruits into 2 main clusters where Poncirus trifoliata alone formed one cluster and the rest 14 species grouped together into another cluster. Inter-species similarity index and the UPGMA dendrogram based on Nei’s genetic distance revealed that Citrus megaloxycarpa and C. limonia as the most closely related species among the 15 citrus fruits under study.
  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.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility