Abstract:
Image enhancement is to process an image so that result is better
than original image for specific application. Medical image processing is a
hard task in hand. Most of the medical images have very low contrast or
full of noise and the challenge is to sharpen them and make them easier in
processing. By using genetic algorithm (GA) which is a general method
for solving problems and it was the most powerful techniques for sampling
a large solution space noise were reduced and the contrast of medical
image has increased so resulted image become more readable, more
helpful and it can be extracted other features were been hidden. The
resulted image was better when it compared to the original image.The
goodness of image are determined by measuring the quality of both
original and resulted image using quality assessment parameters which
include Mean Square Error, Peak Signal to Noise Ratio and Structural
Similarity Index Measure and then compare between them. Here two
samples of image are used to doing three experiments using various
selection operators. The quality Assessment parameters MSE, PSNR andSSIM for original image were recorded respectively as:
(0.0969650, 13.7615, 0.48947). And for enhanced image were respectively
recorded as: (0.0066085, 50.7350, 0.97743). The algorithm was compared
with histogram and the value for original image was recorded as:
(196.0396, 22.0371, 0.4896) and for enhanced image was recorded as(251.7672, 13.5116, 0.3370).
