Edge detection from images is one of the most
important concerns in digital image and video processing. Edge
detection is very useful in computer vision for extracting
meaningful information from images. Real time edge detection is
implemented on the platform that consists of the
TMS320DM6437 DSP, camera, TV tuner, Display and canny
edge detection algorithm. The main goal of our technique is to
obtain thin edges. The edge detection is useful in image
segmentation, object identification and boundary detection. Edge
detection is useful for extracting information about the image like
location of object in the image their shape and size. Image edge
detection reduces the amount of data and filters out useless
information and preserves important structural properties in an
image. The edge image contains information about the original
image. The system is working on real time and it does not require
any additional sensor input except an image.
Shashank Navale : Department of Electronics and Telecommunication
MIT College of Engineering, Pune, India
Pooja P. Gundewar : Department of Electronics and Telecommunication
MIT College of Engineering, Pune, India
Real time edge detection
canny edge detection
TV
tuner
DSP Processor
The method of the real-time edge detection is good. The
nearer objects real time edge detection is satisfactory. Real
time edge detection is a preprocess for many critical
applications such as assembly line inspection and
surveillance. The system is run in real time. The observe
image contain some noise. The canny edge detection
method gives sharp edge image and the imaging developer
board which is used for real time implementation of image
processing algorithms is provided higher resolution and
maximum speed.
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