Title :
Detection of circular shapes from impulse noisy images using median and laplacian filter and Circular Hough Transform
Author :
Nosrati, Masoud ; Karimi, Ronak
Author_Institution :
Eslamabad-E-Gharb Branch, Islamic Azad Univ., Eslamabad, Iran
Abstract :
Shapes detection from noisy backgrounds is one of the hot topics in the field of image processing and pattern recognition. This paper investigates a new method which uses different filters like median and Laplacian filter for reducing the effect of noise in the image and applies the Canny edge detection algorithm. As the final step, a special form of Hough transform which is called Circular Hough Transform will be applied to detect the circular shapes in the image. To prove the efficiency of proposed method, results of implementation in real world use is presented. Results clearly show the good performance of it. This method is absolutely useful in the fields like: building extraction from aerial satellite images, digital filming, biometric security, astronomy, etc.
Keywords :
Hough transforms; edge detection; median filters; object detection; Canny edge detection algorithm; Laplacian filter; circular Hough transform; circular shape detection; image processing; impulse noisy images; median filter; pattern recognition; Finite impulse response filter; Image edge detection; Laplace equations; Noise; Noise measurement; Shape; Transforms; Canny edge detection; Circular Hough Transform (CHT); Detection circular shape; laplacian filter; median filter;
Conference_Titel :
Electrical Engineering Computing Science and Automatic Control (CCE), 2011 8th International Conference on
Conference_Location :
Merida City
Print_ISBN :
978-1-4577-1011-7
DOI :
10.1109/ICEEE.2011.6106710