The conversion of the image in black and white image is a very important factor in the case of WSNs. This conversion affects the image size reduction. In other words, it affects energy saving and bandwidth transmission of sensor nodes. However, in this case, we can have a loss of details of image characteristics. With purpose of preserving the image characteristics, the edge detection as accurately as possible is a key factor. So, in this paper, we will present a new algorithm which enables the efficient realization of pixels detection that corresponds to the edges of the image captured by the sensor nodes. The results obtained with the application of this algorithm will be compared with results obtained from the application of traditional Filters.
CITATION STYLE
Shehu, A., Hulaj, A., & Bajrami, X. (2018). An algorithm for edge detection of the image for application in WSN. In Lecture Notes in Electrical Engineering (Vol. 428, pp. 207–213). Springer Verlag. https://doi.org/10.1007/978-3-319-53934-8_25
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