Correction of Non-Uniform illumination for Biological Images Using Morphological Operation Assessing with Statistical Features Quality

Non Uniform Illumination biological image often leads to diminish structures andinhomogeneous intensities of the image. Algorithm has been proposed using MorphologicalOperations different types of structuring elements including (dick, line, square and ball) withthe same parameters of (15).To correct the non-uniform illumination and enhancementbiological images, the non-uniform background illumination have been removed from image,using (contrast adjustment, histogram equalization and adaptive histogram equalization). Theused basic approach to extract the statistical features values from gray level of co-occurrencematrices (GLCM) can show the typical values for features content of biological images thatcan be in form of shape or specific features. In this research, the application of gray level cooccurrencematrix (GLCM) statistical features correlation, contras, energy and Homogeneityhave presented these features which have high accuracy and efficiently. The color biologicalimages had been used taken which is from microbiology laboratory at the BiologicalDepartment College of Science Al-MustansiriyhUniversity. The algorithms have been appliedon ten different biological color images, in this work only two images have been displayed.