A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Verma, N.
- In vitro Antigiardial Activity of Ethanolic Extract and Fractions from Phlebophyllum kunthianum
Authors
Source
Journal of Natural Remedies, Vol 12, No 1 (2012), Pagination: 68-71Abstract
The ethanolic extract (D002) of the Phlebophyllum kunthianum (whole plant) was tested in vitro against Giardia lamblia and has been found to exhibit 100% antigiardial activity at the dose of 125 μg/ml. On bioassay guided fractionation of D002 by using the solvents of different polarity, n-butanol (F005) and aqueous fraction (F006) have been exhibited 100% antigiardial activity at the dose of 500 μg/ml and 250 μg/ml respectively. Fraction F011 prepared from F006 was found to be most active comparable to the D002 and exhibited 100% antigiardial activity at the dose of 125 μg/ml and number of live trophozoits of 13.48±0.97 at the MIC value of 62.5 μg/ml.Keywords
Phlebophyllum kunthianum, Acanthaceae, Antigiardial Activity, Giardia lamblia- Face Recognition Using Parallel Algorithm
Authors
1 Birla Institute of Technology, Mesra, Ranchi (JH), 835215, IN
2 Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi (JH), IN
3 Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi (JH), IN
Source
Biometrics and Bioinformatics, Vol 2, No 3 (2010), Pagination: 41-46Abstract
In this paper we present a novel parallel implementation of Local Binary Pattern based face recognition algorithm, improving the recognition accuracy. An adaptive block matching method is introduced in the context of the proposed algorithm for parallel image processing. The local binary pattern approach has evolved to represent significant breakthrough in texture analysis, outperforming earlier methods in many applications. Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. Our excellent results suggest that that texture and the ideas behind the LBP methodology could have a much wider role in image analysis and computer vision than was thought before. Extensive experiments clearly show the superiority of the proposed scheme over all considered methods (PCA, Bayesian Intra/extrapersonal Classifier and Elastic Bunch Graph Matching) on FERET tests which include testing the robustness of the method against different facial expressions, lighting and aging of the subjects. In addition to its efficiency, the simplicity of the proposed method allows for very fast feature extraction.
Keywords
Dilation, Face Recognition, Histogram, Local Binary Patterns, Occurrence Map.- Face Recognition Using Parallel Algorithm
Authors
1 Birla Institute of Technology, Mesra, Ranchi-835215, (JH), IN
2 Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi (JH), IN
Source
Biometrics and Bioinformatics, Vol 1, No 1 (2009), Pagination: 5-10Abstract
In this paper we present a novel parallel implementation of Local Binary Pattern based face recognition algorithm, improving the recognition accuracy. An adaptive block matching method is introduced in the context of the proposed algorithm for parallel image processing. The local binary pattern approach has evolved to represent significant breakthrough in texture analysis, outperforming earlier methods in many applications. Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. Our excellent results suggest that that texture and the ideas behind the LBP methodology could have a much wider role in image analysis and computer vision than was thought before. Extensive experiments clearly show the superiority of the proposed scheme over all considered methods (PCA, Bayesian Intra/extrapersonal Classifier and Elastic Bunch Graph Matching) on FERET tests which include testing the robustness of the method against different facial expressions, lighting and aging of the subjects. In addition to its efficiency, the simplicity of the proposed method allows for very fast feature extraction.Keywords
Dilation, Face Recognition, Histogram, Local Binary Patterns, Occurrence Map.- Dynamic Motion Planning of Mobile Robot with Fuzzy Approach
Authors
1 Birla Institute of Technology, Mesra, Ranchi (JH), IN
2 Dept. of Computer Science, Birla Institute of Technology, Mesra, Ranchi (JH), IN