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Shadow Detection Algorithm and It’s Performance Evaluation

Author(s):

Ashwini V. Khekade , Yeshwantrao Chavan College of engineering, Nagpur

Keywords:

RGB Color Model, Various Color Models, Color Aerial Images, Shadows, Shadow Detection

Abstract

In color aerial images, shadows appearing in images may cause false color tones, loss of feature information, and shape distortion of objects, which affects further image processing tasks. Hence, shadow detection is one of the challenging tasks in image processing. In this work simple and efficient chromaticity-based approach for shadow detection is applied on color aerial images. The technique is applied in various color spaces including HSI, HSV, HCV, YIQ and YCbCr models that decouple luminance and chromaticity. In our work the existing technique is extended, to further enhance the shadow detection results using proposed post processing methods. The experimental results shows effectiveness of our approach in comparison with the results obtained using the original approach without post-processing. Performance evaluation metrics one used to evaluate the performance of the proposed method.

Other Details

Paper ID: IJSRDV3I2616
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 896-900

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