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Rotation Invariant Color Retrieval


Affiliations
1 Vidyavardhini's College of Engineering and Technology, Vasai (W), India
2 Rajiv Gandhi Institute of Technology, Mumbai, India
 

The new technique for image retrieval using the color features extracted from images based on Log-Histogram is proposed. The proposed technique is compared with Global color histogram and histogram of corners .It has been observed that number of histogram bins used for retrieval comparison of proposed technique (Log Histogram)is less as compared to Global Color Histogram and Histogram of corners. The experimental results on a database of 792 images with 11 classes indicate that proposed method (Log-Histogram) significantly improves Precision/Recall and Complexity of proposed method is less as compared to Global Color Histogram (GCH) and Histogram of Corners (HOC).

Keywords

Content Based Image Retrieval (CBIR), Global Color Histogram (GCH), Histogram of Corners (HOC), Log-Histogram (LH), Histogram Distance (HD).
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  • Rotation Invariant Color Retrieval

Abstract Views: 344  |  PDF Views: 141

Authors

Swapna Borde
Vidyavardhini's College of Engineering and Technology, Vasai (W), India
Udhav Bhosle
Rajiv Gandhi Institute of Technology, Mumbai, India

Abstract


The new technique for image retrieval using the color features extracted from images based on Log-Histogram is proposed. The proposed technique is compared with Global color histogram and histogram of corners .It has been observed that number of histogram bins used for retrieval comparison of proposed technique (Log Histogram)is less as compared to Global Color Histogram and Histogram of corners. The experimental results on a database of 792 images with 11 classes indicate that proposed method (Log-Histogram) significantly improves Precision/Recall and Complexity of proposed method is less as compared to Global Color Histogram (GCH) and Histogram of Corners (HOC).

Keywords


Content Based Image Retrieval (CBIR), Global Color Histogram (GCH), Histogram of Corners (HOC), Log-Histogram (LH), Histogram Distance (HD).