In this paper, we present a novel approach on road sign segmentation under bad lighting condition employing a modified fuzzy c-means clustering. Most of the cases accidents occur in bad weather or when the road signs cannot be recognized. The proposed system implements a system that segments the road sign using fuzzy c-means clustering. At first, the image is detected in RGB colour space and th...

In this paper, a novel edge detection method is proposed which can be used to find main edges of objects meanwhile filter edges within texture regions. We first introduce three kinds of edge models and three kinds of non-edge models to represents all the possible condition in the edge detection process. Then, pixel’s window intensity regularity (WIR) is defined which denotes the texture similar...

In this paper, the image is decomposed into two parts which are the smooth components (cartoon) and the oscillatory components (texture) using a linear model which reduces to a low-pass /high-pass filter .The paper also involves the one of the applications of decomposed image i.e., edge detection,background detection and pixel value observation . The edge detection of images using canny mask an...

In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content in such a way that the application of the watershed concept provides a proper segmentation of the image. The height map enables the watershed method to provide better segmentation results on difficult images, e.g., images of n...

The canny edge detection technique is a multi-stage algorithm which is an optimal edge detection technique. But it removes noise in an image using Gaussian filter to become insensitive to noise. The Gaussian filter smoothes even the edges in the images so that the through put is decreased. That is some of the true edges may be missed and false edges may appear in the edge detection. We propose ...

This paper presents digital video filters labs for final year engineering students. The project deals with the implementation of Canny Deriche optimal edge detectors on a FPGA plateform. The target of these labs is to illustrate the design of integrated electronic systems and to introduce the concept of architecture/algorithm adequacy.

BACKGROUND Ultrasonic evaluation of intima-media thickness (IMT) is an early marker of assessing the development of atherosclerosis and determining cardiovascular risk. To attain the best possible diagnosis, it is essential that medical images be clear, sharp and without noise and artifacts. OBJECTIVES Comparison of speckle reducing anisotropic diffusion (SRAD), discrete (DTD) and continuum t...

Image registration is a problem that arises in many image processing applications whenever information from two or more scenes have to be aligned. In image registration the use of an adequate measure of alignment is a crucial issue. Current techniques are classified in two broad categories: area based and feature based. All methods include some similarity measure. In this paper a new measure th...

In this paper, we present a technique for grouping line segments sinto convex sets, where the line segments are obtained by linking edges obtained from the Canny edge detector. The novelty of the approach is twofold: rst we de ne an e cient approach for testing the global convexity criterion, and second, we develop an optimal search based on dynamic programming or grouping the line segments int...

Laser data and optical data have a complementary nature to 3D features’ extraction. Building reconstruction by fusion of the two data sources can reduce the complexity of approaches from either side. In this paper we present a model refinement method, which uses the strong lines extracted from close-range images to improve building models reconstructed from terrestrial laser point clouds. First...