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Content-Based Image Retrieval Using Color Histogram, Discrete Wavelet Transform and Canny Edge Detection

Shraddha Gupta, Vandana Vikas Thakare

Abstract


Proposed work utilizes a new content-based image retrieval technique using the fusion of color texture and edge detection descriptors. Color histogram is used to extract color information. Texture features are extracted using discrete wavelet transform. Canny edge detection is utilized to extract edge detection feature. The features are created for each image and stored as a feature vector in database. To examine the accuracy with the former systems, precision and recall methods are used that provide competitive and efficient result. The experimental results prove that the proposed method is better than the existing systems.

Keywords: canny edge detection, content-based image retrieval, color histogram (CH), discrete wavelet transform (DWT)

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References


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