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7 results on '"Turkar, Varsha"'

5. Pancreatic Tumor Detection Using Image Processing.

Author

Shah, Jeenal, Surve, Sunil, and Turkar, Varsha

Subjects
PANCREATIC tumors, IMAGE processing, DIAGNOSIS, DISEASES, SIGNAL processing
Abstract

Pancreatic Tumor is one of the leading causes of cancer death worldwide. However, pancreatic cancer can be cured if it is detected at an early stage. In this paper, an attempt is made to detect pancreatic tumour from CT images. It uses image processing techniques and a basic classifier to detect the tumour. After the image pre-processed, minimum distance classifier is used to detect the tumorous area in the image. It is observed that the accuracy of detecting tumour is around 60%. [ABSTRACT FROM AUTHOR]

Published
2015
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6. Classification of RISAT-1 hybrid polarimetric data for various land features.

Author

Turkar, Varsha, De, Shaunak, Ponnurangam, G. G., Deo, Rinki, Rao, Y. S., and Das, Anup

Abstract

Mean and standard deviation of backscattering coefficients (σ0) of RISAT-1 data acquired over Mumbai in hybrid and linear dual polarizations have been analysed for various land features. Classification accuracy between RISAT-1 hybrid polarimetric data and RADARSAT-2 simulated hybrid polarimetric data has been compared. Wishart supervised and Support Vector Machine (SVM) classifiers are used for this study. It has been observed that the classification accuracy can be improved by using m-d or m-? decomposition along with Circular Polarization Ratio (CPR) and SPAN of hybrid polarimetric data. [ABSTRACT FROM PUBLISHER]

Published
2013

7. Comparative analysis of classification accuracy for RISAT-1 compact polarimetric data for various land-covers.

Author

Turkar, Varsha, De, Shaunak, Rao, Y. S., Shitole, Sanjay, Bhattacharya, Avik, and Das, Anup

Abstract

The launch of RISAT-1 Indian remote sensing satellite on 26th April 2012, made it possible to collect hybrid polarimetric data from a space-borne sensor. The RISAT-1 C-band compact polarimetry data acquired over Mumbai is analyzed and assessed for classification of various land features and also compared with other fully polarimetric spaceborene SAR data sets. For better comparison, RISAT-1 C-band and RADARSAT-2 C-band simulated compact polarimetric data is classified and compared. [ABSTRACT FROM PUBLISHER]

Published
2013
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