An Advanced Road Structure Image Segmentation Method using Swt in Cnn
C. Krishnapriya1, P. Sumalatha2, B. Harichandana3, K. Lavanya4
1Dr. C. Krishnapriya, Assistant Professor, Department of Computer Science and I.T, Central University of Andhra Pradesh, Anantapuramu (Andhra Pradesh), India.
2Dr. P. Sumalatha, Assistant Professor, Sri Vani Institute of Management and Sciences, Anantapuramu (Andhra Pradesh), India.
3B. Harichandana, Research Scholar, Department of Computer Science and Technology, S.K. University, Anantapuramu (Andhra Pradesh), India.
4K. Lavanya, Research Scholar, Department of Computer Science and Technology, S.K. University, Anantapuramu (Andhra Pradesh), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 114-118 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10281292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1028.1292S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the design of advanced road structure image segmentation approach using stroke width transformation (SWT) in convolution neural network (CNN) is proposed. The main intent of the proposed system is to acquire the aerial images for the vehicle. Basically, this image segmentation performs its operation in two forms they are operating phase and learning phase. Here the aerial image has enhanced by using the SWT transformation. Hence the main advantage of this proposes system is that it processes the entire operation in simple way with high speed. The SWT will capture the images of road areas in effective way. Hence the propose system has various features which will determine the color, width and many other.
Keywords: Aerial Images, Convolution Neural Networks, Road Detection; Segmentation.
Scope of the Article: Image Security