Image processing- morphology (dilation & erosion) / Noorshafinaz Mohd Omar

Mohd Omar, Noorshafinaz (2004) Image processing- morphology (dilation & erosion) / Noorshafinaz Mohd Omar. Degree thesis, Universiti Teknologi MARA.


Morphology has being utilized widely nowadays. It is a common method in image processing and it has always been a powerfiil method in the area of image processing. Morphology can best be defined as the 'form and structure' of an object or the arrangements between the parts of an object. Basically, morphology is related to shape, and digital morphology is a way to describe or analyze the shape of a digital object. The two principal morphology operations are dilation and erosion. Dilation allows objects to expand while erosion shrinks objects by etching away (eroding) their boundaries. These operations can be customized for an application by the proper selection of the structuring element, which determines exactly how the objects will be dilated or eroded. The objective of the project is to reduce noise and thinning or thicken object images. The input images are only concentrated on binary and grayscale images. The binary images are drawings using Microsoft Paint. Where else the gray-scale images are downloading from the Internet.


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Item Type: Thesis (Degree)
CreatorsID Num.
Mohd Omar, NoorshafinazUNSPECIFIED
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Information Technology and Quantitative Sciences
Item ID: 1744

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