TY  - JOUR
T1  - Smart Traffic Signal by Digital Image Processing using PCA Algorithm and
Edge Detection Techniques
AU - Swarnalatha, R. AU - Raja, Arjun 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 22
SP  - 6076
EP  - 6082
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.6076.6082
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.6076.6082
KW  - MATLAB
KW  -ITS
KW  -image database
KW  -image processing
KW  -edge detection
KW  -PCA
AB  - Urban traffic is an ever-growing issue in major metropolitan cities and despite advancements in
automotive engineering, traffic signals all over the world have not adapted to the times. In this study,
implementation of a smart traffic signal on MATLAB using digital image processing is proposed. The procedure
mainly consists of four steps: image acquisition, RGB to gray conversion, image enhancement and image
matching using edge detection. This process would require a constant live-feed CCTV image of the traffic at
a particular intersection as a prerequisite, this image will continuously be compared with preset images and
compared. Accordingly, the duration the signal remains on or off can be determined based on the similarities
of the two images.
ER  -