WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 12, 2016
The Application of a New Algorithm for Noise Removal and Edges Detection in Captured Image by WMSN
Authors: , ,
Abstract: Problems that have recently various countries in the world about the security of state borders, especially the green border, has done today many countries to think about the application of Wireless Multimedia Sensor Networks (WMSN) for the green borderline surveillance. However the application of this technology along the green border is followed by many challenges, one of which is power supply. For optimization of energy consumption by the multimedia sensor nodes the conversion of captured images by the WMSN in black and white images is a very important factor. By converting the images to black and white, we can have a loss of details of image characteristics. To preserve the characteristics of the image, the edges detection of the image is a key factor. However, interfering noises from various sources in the image may affect the image edges damage. Therefore, it must first be realized removal of noise within the image and then the edge detection of the image. Today there are some algorithms and filters that are applied for noise removal from the image and the edges detection of the image. In this paper, we will present a new algorithm which enables that efficiently, initially noise removal when various types of noise are involved simultaneously in the image, and then the detection of pixels that correspond to the edges of the image captured by the WMSN.
Search Articles
Pages: 258-268
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 12, 2016, Art. #30