Papers by Keyword: Structuring Element

Abstract: Airport runway debris detection decides security of plane and passengers. The relative merits of the various types of sensor and the effects of adverse environmental conditions on their performance, a novel fuzzy weighted morphology algorithm of detection about runway debris is approved. The experimental results show that the proposed algorithm, compared with a few classic algorithms of edge detection, which can achieves the image edge precisely and reduce noises, better retain the image details, and adaptively detect the complete and successive edges.

Abstract: For the recognition of action sEMG signal, the muscle activity detection is the elementary work, and the morphological filter was explored to achieve the target in this paper. To reduce the noise interference in the collected sEMG signal, the band-pass filter and spectrum interpolation method were applied. Based on two structuring elements, the morphological filter was utilized to separate the action signal from the background signal. Then, the amplitude envelope which could indicate the muscle activity was acquired. The experimental results showed that the satisfying muscle activity detection performance could be implemented by the morphological filter.

Abstract: This paper puts across the various approaches and methods that have been proposed in the context of Fuzzy Mathematical Morphology. The underlying principles of Dilation & Erosion, the structuring elements used in various techniques, the unique variations put forth by researchers, new applications in spatial relationships, decision making, segmentation of medical images have been discussed.