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Applications of Mathematical Morphology in Image Processing: A Review 1

By Beant Kaur and Sangeet Pal Kaur


Image processing plays an important role in today’s world. It is a form of signal processing for which the input is an image and output will also be an image or any attribute. Different operations of image processing are geometric transformations such as enlargement, reduction and rotation, color corrections such as brightness and contrast adjustments, quantization, or conversion to a different color space, recovery of a full image from a raw image, format of image, image editing, image differencing, etc. Mathematical morphology is also one of the important terms in image processing. It deals with the science of shapes and geometrical structure. This paper shows the different application of mathematical morphology. II. Applications of Mathematical Morphology Different applications of mathematical morphology are as follows: A. Fingerprint Feature Extraction Feature extraction stage is concerned with the finding and measuring important similarities of the fingerprint that will be used to match it [2]. Final goal of recognition system is to the two fingerprints one which is already stored in the memory system and other which is captured. Mathematical morphology is used in this application for the extraction purpose. Ridge ending and ridge bifurcation are some problems which occur in fingerprint pattern

Topics: Dilation, Erosion, License Plate, Structuring Element
Year: 2013
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