Content -based Retinal Image Retrieval Based on Wavelet Transform
نویسنده
چکیده
The paper presents the content based retinal image retrieval (CBRIR) based on dual tree complex wavelet transform (DT-CWT) and multi wavelet. The multi wavelet transform is more retrieval accuracy compare to DT-CWT. It is less complexity and less retrieval time. In this work, the proposed method follows two steps. The firstly, apply the wavelet transform (either DT-CWT or multi wavelet) and energy is used for feature extraction. Energy function is the most suitable for texture characterization of the image. Secondly, calculate the similarity measures between query and database image feature vectors using Euclidian distance. The experimental data base diabetic retinopathy database (DRD) contains 1261 images. The experimental results shows that the retrieval efficiency and retrieval time of multi wavelet is less compare to DT-CWT.
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