• Dr.N.Balakrishnan
• Mrs.J.Sujipriya

Image processing techniques becomes common in the medical diagnostics like radiology, tomography, emission tomography and etc. These instruments use electromagnetic signals like X-Rays, Gamma Rays, and Magnetic Values for analyzing the results of the patients. These images help in predicting the severity of the concerns. In such cases the appearance of the images predicts the severity. An image enhancement technique increases the appearance of the images either by increasing the several features like Intensity, Sharpness, Contrast and etc. or by decreasing the impulse noise in the images. Several techniques are adopted to increase the appearance of the images. Some of common method increases the intensity are Nonlinear Dynamic Range Adjustment (NDRA), Variation High-Order Derivatives (Variation-HOD), Histogram Equalization, Intensity Histogram Equalization (IHE), Fuzzy Techniques. Fuzzy techniques manage the undefined and imperfect images in smoother way using the fuzzy set values. This paper focuses on the contrast enhancement using the Fuzzy set Theory. Three steps are followed in enhancing the images using fuzzy set theory. They are encoding, modification and decoding. The image data are encoded in the first part, encoded data (pixels values) is further modified using the fuzzy techniques where the enhancement is improved and finally undergoes the decoding process which leads to an enhanced image.

Image Enhancement using Fuzzy Set Theory

"Image Enhancement using Fuzzy Set Theory", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.92-94, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06019.pdf

"Image Enhancement using Fuzzy Set Theory", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp92-94, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06019.pdf