چکیده (انگلیسی):

This study presents an image enhancement approach to
Cuckoo Search Algorithmin with Morphological Operation. At the
present time, in many image processing applications digital images are
developed. Machine vision, computer interfaces, manufacturing,
compression for storage and more are some of the fields of image
processing application. Before using it in any applications the image
has to be managed, such processing is said to be image enhancement.
We propose a method to combine with an enhancing digital images
through cuckoo search algorithmin and morphological operation.
Therefore, the appearance of noise produces distortion in an image and
thus the image will be unattractive. This decreases the discernibility of
many features inside the images. In this study, we are working to
overcome this drawback by getting an improved contrast value after
converting the color image into grayscale image. The fundamental
characteristic of this CS algorithm is that the amplitudes of its
components can objectively reflect the contribution of the gray levels
to the representation of image information for the best contrast value of
an image. After selecting the best contrast value of an image in CS
algorithm, morphological operations have to be done. In morphological
operations, the intensity parameters of the image are adjusted to
improve its quality. Experimental results demonstrate that the proposed
approach is converted into original color image without noise and
adaptive process to enhance the quality of images.