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V. Aravindhan , K. Sathiyadas , A. Rajendran , Binu Thomas

Abstract

The present paper highlights the medico-potentiality of 11- orchidaceous species viz., Acampe praemorsa (Roxb.) Blatt. & Mc. Cann., Bulbophyllum acutiflorum A. Rich., Bulbophyllum neilgherrense Wight., Cymbidium aloifolium (L.) Sw., Dendrobium herbaceum Lindl., Geodorum densiflorum (Lam.) Schltr., Habenaria plataginea Lindl., Habenaria roxburghii Nicolson, Malaxis acuminata D. Don, Oberonia wightiana Lindl. and Vanda tessellata (Roxb.) Hook. f. ex D. Don, collected from the Velliangiri hills, Southern Western Ghats of Tamil Nadu, India. The correct botanical name, brief description, distribution with phenological data and medicinal uses are provided for each species.

Keywords

Rare/Endemic Orchids, Ethnomedicine, Velliangiri Hills, Tamil Nadu

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S. Thevasundari ¹, A. Rajendran ²

Affiliations
1 Department of Environmental and Herbal Science, Tamil University, Thanjavur, Tamil Nadu, IN
2 Department of Botany, Bharathiyar University, Coimbatore, Tamil Nadu, IN

Abstract

Anti-inflammatory drugs presently available for the treatment of various inflammatory disorders have diverse and undesirable side effects. In recent years; active principles of varied chemical structures have been isolated from plants possessing anti-inflammatory activity. The main objective of the present investigation is to evaluate the anti-inflammatory property of chloroform, distilled water, ethanol and ethyl acetate leaf extract of Heterostemma tanjorense Wight and Arn. in albino rates using the Carrageenan induced left hind paw edema. In the study it was observed that the chloroform, distilled water, ethanol and ethyl acetate extracts were significantly inhibit paw edema induced by carrageenan in rats. The ethanolic extract showed a promising anti-inflammatory property when compared with the chloroform, distilled water and ethyl acetate extract.

Keywords

Anti-inflammatory, Heterostemma tanjorense, Carrageenan, Paw Edema.

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M. Parthipan ¹, A. Rajendran ¹

Affiliations
1 Taxonomic and Floristics laboratory, Department of Botany, School of Life Sciences, Bharathiar University, Coimbatore- 641 046. Tamil Nadu, India, IN

Abstract

No abstract

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A. Rajendran ¹, R. Dhanasekaran ²

Affiliations
1 RVS College of Engineering & Technology, ECE Department, Coimbatore, IN
2 Syed Ammal Engineering College, Ramanathpuram, Coimbatore, IN

Abstract

Medical image segmentation is the most important process and research focus in the medical image processing field. Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. In this paper the gradient vector flow (GVF) snake model is modified with thinning canny edge detection is used for brain tumor segmentation. The thinning canny operator is used to calculate the edge map gradient for GVF snake model. Then the GVF deforms with initial contour. Simulation results show that the GVF model with thinning canny operator can extract the boundary of brain tumor accurately. This method can overcome the problem that traditional snake cannot have efficient converge to the weak boundary.

Keywords

GVF Snake, Segmentation, Brain Tumor, Deformable Model.

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A. Rajendran ¹, R. Dhanasekaran ²

Affiliations
1 RVS College of Engg. &Technology, ECE Department, Coimbatore, IN
2 Department of ECE, Nehru Institute of Engineering and Technology, Coimbatore, IN

Abstract

Image segmentation is one of the primary steps in image analysis for object identification. The main aim is to recognise homogeneous regions within an image as distinct and belonging to different objects Image segmentation plays a crucial role in many medical imaging applications by automating or facilitating the delineation of anatomical structures and other regions of interest. We present herein a critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images. We conclude with a discussion on the future of image segmentation methods in biomedical research.

Keywords

Medical Imaging, Classification, Deformable Models, Magnetic Resonance Imaging.

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A. Shajin Nargunam ¹, R. Manju ², A. Rajendran ³

Affiliations
1 Noorul Islam University, IN
2 Department of EIE, Noorul Islam University, IN
3 Department of ECE, Sun College of Engineering and Technology, IN

Abstract

In many real-world applications, unimodal biometric systems often face significant limitations due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other factors. Multibiometric systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. This paper presents an effective fusion scheme that combines information presented by multiple domain experts based on the rank-level fusion integration method. The developed multimodal biometric system possesses a number of unique qualities, starting from utilizing principal component analysis and Fisher‘s linear Discriminant methods for individual matchers (face,iris, and fingerprint) identity authentication and utilizing the novel rank-level fusion method in order to consolidate the results obtained from different biometric matchers. The results indicate that fusion of individual modalities can improve the overall performance of the biometric system, even in the presence of low quality data.

Keywords

Biometric Identification System, Neuro Fuzzy, Fisher‘s Linear Discriminant Methods (FLD), Multi Biometric System, Principal Component Analysis (PCA), Rank-Level Fusion.

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A. Sathya ¹, A. Rajendran ², V. Sivakumari ²

Affiliations
1 Department of Microbiology, Marudupandiyar College, Thanjavur (T.N.), IN
2 Department of Environmental and Herbal Sciences, Tamil University, Thanjavur (T.N.), IN

Abstract

Coagulase negative nosocomial Staphylococcus spp. were collected from infected patient in and around Thanjavur. Colonies were analyzed by using morphological (staining, colony morphology and pigmentation) and biochemical (catalase, coagulase, acid production etc.) analyses. Twenty coagulase negative Staphylococcus spp. (CoNS) were identified by morphological and biochemical tests and submitted to molecular typing by plasmid DNA analysis, genomic DNA analysis, restriction endonuclease digestion pattern by using EcoR I, Hind III, and Alu I enzymes. 20 species of three different type of CoNS were identified, viz., S. epidermidis, S. saprophyticus and S. haemolyticus.

Keywords

Coagulase Negative Staphylococcus spp., Genomic DNA, Plasmid DNA.

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