Abstrakt

A Study On Preprocessing A Mammogram Image Using Adaptive Median Filter

Dr.K.Meenakshi Sundaram , D.Sasikala , P.Aarthi Rani

Digital mammogram becomes the most effective technique for early breast cancer detection modality and processing these images requires high computational capabilities. Computer image processing techniques will be applied to enhance images. This paper attempts to study about pre-processing is the most important step in the mammogram analysis due to poor captured mammogram image quality. Pre-processing is very important to correct and adjust the mammogram image for further study and processing. Different types of filtering techniques are available for pre-processing. Filters are used to improve image quality, remove the noise, preserves the edges within an image, enhance and smoothen the image. The experimental results concludes that the adaptive median filter is best for mammogram image noise removal and gives better performance by estimating the PSNR values

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

Indiziert in

Academic Keys
ResearchBible
CiteFactor
Kosmos IF
RefSeek
Hamdard-Universität
Weltkatalog wissenschaftlicher Zeitschriften
Gelehrter
International Innovative Journal Impact Factor (IIJIF)
Internationales Institut für organisierte Forschung (I2OR)
Kosmos

Mehr sehen