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Abstract

Breast thermography plays a significant role in early detection of breast cancer. In this work, an attempt has been made to extract the edge map in Type-I and Type-II images using You and Kaveh (YK) and Nonlinear Nonlocal (NLNL) diffusion filter. NLNL is an enhanced fourth order diffusion model. The extracted edge map is compared with the YK fourth order diffusion filtered edge map. Two gradient based metrics Edge preservation Index (EPI) and Gradient Magnitude Scale Deviation (GMSD) are used to validate the extracted edge maps. Result shows, the varying characteristics edges are found to be distinct, clear and enhanced by YK fourth order model. Compared to an enhanced fourth order method the EPI is found to be high for YK model edge map images. The index value is found to be 40% and 28% respectively. Similarly minimum GMSD is observed for YK fourth order model compared to the nonlinear nonlocal diffusion model. Hence the edge map extracted from YK fourth order filter shall aid precise segmentation and shall be used for early screening and clinical interpretation.

Keywords

Nonlinear nonlocal diffusion filtering YK model infrared breast images AQI EFI and GMSD

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