Abstract—Illumination is a standout amongst the most critical variables influencing the presence of a picture. It frequently prompts decreased structures and inhomogeneous forces of the picture because of various surface of the protest surface and shadows cast from various light source bearings. This impact creates from non uniform background enlightenment and its belongings are unfriendly in the event of biological images. Methods, for example, segmentation, edge detection and general picture handling calculations in view of 'region of interest' couldn't separate between a portion of the particles and their background or neighbouring pixels. This paper is expected to evacuate these issues in minute picture handling by right off the bat expelling the issue of non-uniform background brightening from the picture utilizing Morphological Opening, Adaptive Histogram Equalization and Image Enhancement to change the information picture to its listed frame with greatest exactness including thresholding and difference modification strategies lastly utilizing the associated segment methodology to discover number of particles present in the picture, making pseudo shaded list picture to figure the qualities of each molecule plainly and registering the attributes of each molecule lastly plotting zone based measurements and histogram of the last picture.
 

Index Terms—morphology, histogram equalization, thresholding, dialation

Cite: Prabhdeep Singh and Vandana Chauhan, "Morphological Dilation and Erosion for Particle Analysis: A Review," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 6, No. 3, pp. 11-14, July 2017. DOI: 10.18178/ijeetc.6.3.11-14