Image De-noising and Granularity Detection Based on Morphology

Abstract S quare and circular structure elements are presented, which are used to image de-noising and granularity detection. The different de-noising effects by using the two structure elements were gotten. Moreover, given only one kind of structure elements, we changed the size of the structure element, then, the difference of de-noising effects is very apparent. It is compared with the detection in one-dimensional direction. The range of detected granules’ size and shape can be expanded by using two dimensional structure elements. Meanwhile, the use of mathematical morphology to a certain extent overcomes the interference of noise. Taking one parasite egg micro image as a simulation example, experimental results show that the image granularities, that we detected by using different structure elements, have great difference, and two-dimensional detection is better than one-dimensional direction detection.