MRI brain image enhancement using Histogram Equalization techniques
Hardeep Kaur, Jyoti Rani · 2016
In this era, Computerized field in digital image processing needs efficient MRI image with less noise and improved contrast of image. The main process examined and look at different Histogram based enhancement techniques. Histogram equalization analyze on the bases of Magnetic resonance imaging (MRI) furthermore calculate the metrics parameter of histogram techniques. Image enhancement is a procedure of changing or adjusting image in order to make it more suitable for certain applications and is used to enhance or improve contrast ratio, brightness of image, remove noise from image and make it easier to identify. Magnetic resonance imaging (MRI) is an astounding medical technology provide more appropriate information regarding Human brain soft tissue, cancer, stroke and various another diseases. MRI helps doctors to identify the diseases easily. MRI has very low contrast ratio to improve contrast of MRI image we used Histogram equalization technique. In which, Histogram Equalization, Local Histogram Equalization, Adaptive Histogram Equalization and Contrast Limited Adaptive Histogram Equalization techniques are compared.