This paper deals with an efficient background subtraction of image/frames of video by improving the execution speed, accuracy and reduce the usage of memory. Three important techniques are applied to improve the efficiency: superpixel extraction, canny edge detection and fuzzy c means. On applying the above three methods sequentially, the background of image/video can be segmented from foregrou...

This paper proposes a new approach for information hiding in RGB color images based on 3 new techniques 1) A new hybrid feature (line /edge /boundary /shape) detection technique combining Canny and Hough transform for bifurcating an image into edge and smooth areas 2) Two Component based Least significant bit (LSB) Substitution Technique for hiding encrypted messages in edges of images 3) An Ad...

Received Jul 5, 2012 Revised Aug 8, 2012 Accepted Aug 15, 2012 In this paper, a new one-stage nonlinear directional derivative scheme has been proposed for edge detection. The directional edge detection method was applied to gray and color images. The results were compared to three wellknown conventional edge detectors namely Canny, Prewitt, and Sobel. According to results, the directional deri...

This study focuses on various edge detection methods .Edge detection is the common approach used in segmentation. In an image, edge can be the boundary between two regions with relatively distinct grey level properties. Edge detection is the most familiar approach used in medical field, vehicle parking management system etc for segmentation. The aim of this paper is studying different edge dete...

Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper introduces a new classification of most important and commonly used edge detection algorithms, namely ISEF, Canny, Marr-Hildreth, Sobel, Kirsch, Lapla1 and Lapla2. Five categories are included in our classification, and then advan...

In One of the most essential methods in digital image processing is edge detection. Because its capacity to detect edges even images heavily contaminated by noise, Canny detector widely used detection algorithm. A modified canny created MATLAB and implemented FPGA this project. The mask for gradient calculation, bilinear interpolation four pixels non-maximal suppression. iris subsystem, as a pr...

Vehicle plate recognition is an effective image processing technique used to identify vehicles' plate numbers. There are several applications for this technique which expand through many fields and interest groups. Vehicle plate recognition may be used as a marketing tool, for purposes of traffic and border control, for law enforcement, and travel. Many methods have been proposed to facilitate ...

In image analysis most commonly used technique is edge detection, probably there are many edge detection techniques are available in the literature of detecting edges .in order to avoid the discontinuities in the image brightness among different regions of an image .we are proposing two edge detection algorithm that are canny edge detection algorithm and fuzzy mathematical morphology based edge...

Edges are often considered as primary image artifacts for extraction by low-level processing techniques, and the starting point for many computer vision techniques. As a result, reliable edge detection has long been a research goal. This paper describes initial investigations into recovering reliable edges using curvature models. Essentially, we modify Canny’s edge detector, using a curvature c...

For the hearing impaired, sign language is the most prevailing means of communication for their day-to-day life. It is always a challenge to develop an optimized automated system to recognize and interpret the implication of signs expressed by the hearing impaired. There are a wide range of algorithms developed for SLR, in which only few considerable approaches are carried out in Tamil Sign Lan...