Research ArticleOpen accessIn the keywordsDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenomic Signature of Respiratory Microbes on Human Scalp EpitheliaBhola Nath Paul, Vani Mishra, Jasmeet Kaur Chhabra, Divyani PaulDespite overlap between habitats occupied by diverse Airborne Respiratory Microbes (ARM), the airway epithelium is known for respiratory microbe infections, human scalp epithelium is undocumented. Analogous to airways epithelium, the scalp epithelium is vulnerable to infection by dormant variants of sensitive microbes that underlie many chronic and relapsing diseases, difficult to eradicate by conventional antibiotics and challenged our ability to … …American Journal of Immunology, Vol. 11, Issue 3 · 11 Sep 2015 · 7,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing IRS Products to Recover 7ETM+ Defective ImagesMobasheri Mohammad Reza, Sadeghi Naeini AliOn May 31st, 2003, Landsat 7 faced an anomaly in the Scan Line Corrector (SLC) normal operation. This malfunctioning of SLC caused the individual scan lines alternately overlap each other and consequently produce large gaps at the edges of the image. Regarding the unique specification of ETM+ sensor on board of Landsat-7 satellite such as its spectral bands in the … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 6,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Block-Based Multi-Scale Background Extraction AlgorithmSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on accuracy of the extracted background image. It should be able to adapt to the changes continuously. In addition, especially in real-time applications the time complexity of this adaptation is a critical matter. Approach: … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing the Applicability of Landslide Databases for Hazard Management Using Objective and Subjective Models: Australian Geoinformatic CaseM. OwneghProblem statement: In order to assess the applicability of Australian landslide databases as a hazard management support system, current hard and soft literature and data sources were screened. This assessment resulted in the selection of four main data bases including national landslide database (A), Peril Aus ІІ (B), the Cities project (C) and analytical study of Fell (D). Approach: In … …Current Research in Geoscience, Vol. 1, Issue 1 · 30 Jun 2010 · 10,352 accessesView PDFCite