Amplitude spectrum analysis based salient object detection method

The invention discloses an amplitude spectrum analysis based salient object detection method, which comprises the steps of extracting a brightness feature I, an antagonistic feature RG and an antagonistic feature BY from an acquired image; the extracted features are transformed into a frequency doma...

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Bibliographische Detailangaben
Hauptverfasser: ZHENG HAIYONG, ZHAO HONGMIAO, JI GUANGRONG, ZHU YAFEI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an amplitude spectrum analysis based salient object detection method, which comprises the steps of extracting a brightness feature I, an antagonistic feature RG and an antagonistic feature BY from an acquired image; the extracted features are transformed into a frequency domain through quaternion Fourier transform so as to acquire an amplitude spectrum, a phase spectrum and an intrinsic axis spectrum of the image; detecting the size of each salient object and a central position of each salient object in the image by using an image signature operator; acquiring an optimal filtering scale corresponding to each of the different salient object through utilizing a specific relation between the optimal filtering scale of the amplitude spectrum and the size of the salient objects, and respectively carrying out different scales of Gaussian filtering on the amplitude spectrum of the image; determining a weight value of an optimal saliency map corresponding to each salient object according to ce