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 ...

Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodology. Edge detection is a basic and important subject in computer vision and image processing In this Paper we discuss several Digital Image Processing Techniques applied in edge feature extraction. Firstly, Linear filtering of Image is done is used to remove noises f...

The novelty of this paper is edge detection in binary and color images using the Ricci curvature function is proposed. The reason for this is, if the edges in an image are determined accurately, then all of the objects can be located and basic image properties can be measured. In this paper we represent images as a manifold and make use of differential geometry in image processing, namely the R...

The Intelligence of Human-Computer Interaction is one of the hot researching areas. Facial expression recognition is an important part of human-computer interaction. At present, the research of facial expression recognition has entered an era of a new climax. In real-time facial expression recognition system, the paper presents an expression feature extraction method that combined canny operato...

In this paper, two algorithms for MRI segmentation are studied. K-means and canny edge detector. The objective of this paper is to perform a segmentation process on MR images of the human brain, using K-means Algorithm and canny Edge detection algorithm. K-means Clustering algorithm gives us the segmented image of an MRI having the same intensity regions. K-means Clustering segments all the thr...

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...

Computer scientists John Canny and Eric Paulos discuss computermediated communication from Cartesian and phenomenological perspectives. The current Cartesian model for teleconferencing ignores the role of the body and breaks communication into separate channels for video, text, and audio. The results are often stilted and unsatisfying. Canny and Paulos propose an alternative model based on a ph...

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...