Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations
نویسندگان
چکیده
Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolution implementations of the SIDE and MRF algorithms were created for this work. Techniques based on the SIDE and MRF algorithms produced the most accurate segmentations.
منابع مشابه
Techniques for a structural analysis of dermatoscopic imagery.
Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules. These techniques incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger, a snake algorithm, and a modification of the region competition strategy of Zhu and Yuille. A novel approach was developed f...
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