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COLOR CONTRAST ENHANCEMENT BASED ON FUZZY MODEL FOR THINPREP CERVICAL CELL IMAGES

ThinPrep monolayer cytology was introduced to overcome the limitations of conventional Pap smear test for screening of cervical cancer. This study proposes a contrast enhancement technique, which is only applied on the cervical cell of interest. The proposed technique is divided into two stages. Before enhancement the membership value for a pixel is identified using Fuzzy Trapezoidal membership function. The image is enhanced by the highest membership function value for a pixel. The cervical cell of interest will be applied with linear contrast algorithm and the proposed nonlinear algorithms namely nonlinear bright, non-linear middle and nonlinear dark contrast to enhance the contrast of the ThinPrep images. The results show that the proposed technique improves the image quality useful for further analysis by