In 1983 Canny presented criteria for measuring the quality of edge detectors and derived an optimal FIR-Filter for step edges by optimizing them. Four years later Deriche proposed an approach to edge detection based on Canny´s design utilizing IIR-Filters which can be implemented very efficiently recursively. Unfortunately, using the Deriche-Filter leads to a distortion of the amplitudes of the...

\ Abstract: Edge detection plays an important role in object identification. Application ranges from machine vision, image processing to pattern recognition. There exist many algorithms for detecting edges such as sobel, prewitt, canny, morphological operators etc. Canny operator is more susceptible to noise. This paper analyses the advantages and disadvantages of Canny operator and Morphologic...

In this paper we report the evolution of a feature extraction stage for edge detection using multidimensional multiobjective genetic programming. We have employed training and validation data produced using a realistic model of the imaging physics to evolve an n-to-m mapping which projects the pixel intensities of an n × n image patch into an m-dimensional decision space. The (near-)optimal val...

Canny Edge Detector (CED) is an edge detection operator commonly used by most Image Feature Extraction (IFE) Algorithms and Image Processing Applications. This operator involves the use of a multi-stage algorithm to detect edges in a wide range of images. Edge detection is at the forefront of image processing and hence, it is crucial to have at an up to scale level. Multicore Processors have em...

Detection of continuous edges is a hard problem and most edge detection algorithms produce jagged and thick edges particularly in noisy images. This paper firstly presents a novel constrained optimisation model for detecting continuous, thin and smooth edges in such images. Then two particle swarm optimisation-based algorithms are applied to search for good solutions. These two algorithms utili...

This paper presents the concept of a fidelity slider, which is a user-defined method that enables trading off accuracy for performance in a parallelized application. The slider is defined in the context of the Canny edge detector, but can be generalized to other image processing algorithms. The slider moderates discontinuity issues introduced by an image-slicing technique used to increase the l...

Restoring the original image from blurred or degraded image due to motion blur, noise or camera misfocus has long been a challenging problem in digital imaging. Image restoration is thus a process of recovering the actual image from the degraded image. The purpose of the paper is to restore the blurred/degraded images using blind deconvolution algorithm with canny edge detector. The task of ima...

This paper discussed the effectiveness of several popular gradientbased edge detection techniques when applied on binary images of songket motifs. Five edge detector algorithms that is Roberts, Sobel, Prewitt, Laplacian of Gaussian and Canny are applied to twenty-five Malaysian traditional songket motifs. These scanned motif images are initially preprocessed to remove noise using several morpho...