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...

In this paper analysis and comparison of various methods for text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast enhancement mechanism that enhances region stability of text patterns to remove th...

The increasing necessity of image retrieval based on content given technique can be used in a number of domains like Data Mining, Academics, Medical, Crime Prevention, Weather forecasting, Remote sensing and Management of Resources. This paper presents the content based image retrieval , using an edge detection called as canny edge detection algorithm in which the image can be viewed as binary ...

In this paper a novel algorithm which is based on hamming code and 2 k correction is proposed. The new method also utilizes canny edge detection and coherent bit length. Firstly, canny edge detector is applied to detect the edge of cover image and only edge pixels are selected for embedding payload. In order to enhance security, the edge pixels are scrambled. Then hamming encoding is practiced ...

Edge is a basic feature of an image. Edges can be defined as boundary between two different regions in an image. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. Edge detection process significantly reduces the amount of data and filters out useless information, while preserving the essential structural properties in an image. .In this paper we...

Edge detection process has a widespread usage in computer vision applications. But it has a different output when its input image changes from color to grayscale. This changeability of results make us add modification on edge detection process procedures to correctly detect all those edges in color images that can’t be detected in gray ones. This research reviews the proposed solution of Dutta ...

In computer vision and object recognition, effective and efficient image segmentation is an important task. This paper presents an Interactive Segmentation of Medical Images. Since fully automatic image segmentation is usually very hard for natural and medical images, interactive schemes with a few simple user inputs are good solutions. The users only need to roughly indicate the location and r...

Road is a means of access for humans to move from one place another, connecting and serving as transportation infrastructure. At all times, asphalt roads are passed by road users, including small, medium, large vehicles. However, conditions not always smooth often there damages in certain parts the road. Factors such water, weather, temperature changes, unstable soil conditions, air temperature...

Steganography is the science of hiding digital information in such a way that no one can suspect its existence. Unlike cryptography which may arouse suspicions, steganography is a stealthy method that enables data communication in total secrecy. Steganography has many requirements, the foremost one is irrecoverability which refers to how hard it is for someone apart from the original communicat...