Published In : IJCAT Journal Volume 1, Issue 11

Date of Publication : 31 December 2014

Pages : 570 - 576

Figures :03

Tables : 01

Publication Link :Image Retrieval in Mobiles using Signature based Approach

 

 

 

Amrita Naik : is Assistant professor of Computer Engineering Department at Don Bosco College of engineering, Margao. She Graduated with BE (Distinction) in Information Technology from B.V.Bhoomreddi College Of Engineering, VTU. She pursued her Masters in Information Technology from Goa University. Her research Areas are Image Processing and Data Mining.

 

 

 

 

 

 

 

Image database

Feature database

Signature

HSV-based histogram

Since the F-Measure for “Texture” is too low, we have assigned a lower weight for the texture feature. The weights varied for each features and it was observed that the number of false positives increases as the weights for color increases above 0.75. And the number of false negatives increases as the weights for color decreases below 0.35. A group of images were tested with varying color, shape, texture weights. Average precision, recall, Fmeasure was calculated for combined features. And it was observed that the color weight=0.75, shape weight =0.2, texture weight=0.05 provides the best results for given set of images.

 

 

 

 

 

 

 

 

 

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