Canny operator has proved as an optimal edge detector due to due to good localization, detection and only one response to single response. However it has some drawbacks. An improved algorithm has proposed by Gao Lie in which bilateral filtering is used that have better edge preserving and noise removing capabilities. For achieving adaptive thresholding OTSU‟s method is used which automatically ...

There are various methods available in the literature for improving the visual quality of an image. Contrast enhancement of an image by histogram equalization is one such technique. But histogram equalization alone results in data loss and also the mean brightness of the resultant output image approaches to the middle gray level. In this paper, the edge strengths of the original and the equaliz...

We present a novel approach to tradeoff accuracy against the degree of parallelization for the Canny edge detector, a well-known image-processing algorithm. At the heart of our method is a single toplevel image-slicing loop incorporated into the sequential algorithm to process image segments concurrently, a parallelization technique allowing for breaks in the computational continuity in order t...

This paper presents a hybrid edge detection algorithm in situations where the image is corrupted by Saltand-Pepper noise. Edge detection is an important preprocessing step in image analysis. Successful results of image analysis extremely depend on edge detection. Up to now several edge detection methods have been developed such as Roberts, Prewitt, Sobel, Zero-crossing, Canny, etc. But, they ar...

This work presents a flexible feature detectors for image with reduced area, power and memory requirements, supporting a variable input resolution. It focuses on processing an image pixel by pixel and in modification of pixel neighborhoods and the transformation that can be applied to the whole image or only a partial region and identify sudden changes in an image. The proposed work is optimize...

Edge detection is the most common approach for detecting discontinuities in gray scale images. By using edge detection important features can be extracted from an image in the form of edges. The number of researches has found so many techniques to detect edges. It is very important to locate the edges which are true as every operator is sensitive to certain type of edges. It is important to cho...

We propose a biologically motivated computational step, called nonclassical receptive field (non-CRF) inhibition, to improve the performance of contour detectors. We introduce a Gabor energy operator augmented with non-CRF inhibition, which we call the bar cell operator. We use natural images with associated ground truth edge maps to assess the performance of the proposed operator regarding the...

This paper describes a robust method for spinal vertebrae edge detection from biplanar X-ray radiographic images (lateral and antero-posterior). It uses anisotropic filtering and a Canny-Deriche edge detector applied locally and in a region of interest. The anatomical structure of interest in this work is the spinal area. Anisotropic filtering is applied so as to preserve edge structures while ...

Presented here is an architecture for implenting a sub-pixel resolution edge detector based upon the second difference of a Gaussian filtering. A pipelining approach allows many simple operations to be performed in parallel across the video data stream so allowing a throughput at video rate, 10MHz. The output is intended describe edges in terms of an 8-bit strength and orientation as well as 8-...