Abstract
Concerning the poor performance and high computation complexity of a single fractal feature applied in detecting Region Of Interest (ROI) of man-made objects,an algorithm for detection of ROI based on fractal and wavelet was proposed.Firstly,the original image was decomposed to sub-images.Secondly,new fractal feature of low frequency sub-image was computed utilizing fractal intercept feature and fractal fitting error,thus ROI of low frequency sub-image could be gained.Finally,ROI of original image was obtained using the relationship between original image coordinates and sub-image coordinates.The experimental results show that the algorithm proposed has very good effect in detecting ROI of image and reducing computational complexity.
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