In this paper, the performance of a Gabor odd filterbased edge detector is investigated using the measures proposed b y Canny. Based on this performance analysis a design criterion for 1-D Gabor filter-based edge detector is derived. It is shown that this design criterion holds good for a 2-0 Gabor filter-based edge detector as well. Experimental results are presented to demonstrate the signifi...

The REVgraph is built up from our stereo processing system, TINA!. This system runs a Canny edge detector over both images, finds disparity values for the edge points using the PMF stereo correspondence algorithrn'' groups up the points into edge segments, and produces a geometric description of these edge segments in terms of straight linesand circular arcs'. The REVgraph contains representati...

Methods have been used for identification of human by recognizing lip prints. Human lips have a number of elevation and depressions features called lip prints and examination of lip prints is referred to as cheiloscopy. Lip prints of each human being are unique in nature like many others features of human. In this paper lip print is first smoothened using a Gaussian Filter. Next Sobel Edge Dete...

We study the method of Sun et al. for edge detection based on the Law of Universal Gravity. We analyze the effect of the substitution of the product operation by other triangular norms in the calculation of the gravitational forces. We treat edges as fuzzy sets for which membership degrees are extracted from the resulting gravitational force on each pixel. We consider several prototypical trian...

In this paper we propose an edge-based algorithm for artificial text detection in video frames. First, an edge map is created using the Canny edge detector. Then, morphological filtering is used, based on geometrical constraints, in order to connect the vertical edges and discard false alarms. A connected component analysis is performed to the filtered edge map in order to determine a bounding ...

This paper presents a theoretical and experimental analysis of the bias in the localization of edges detected from the zeros of the second derivative of the image in the direction of its gradient, such as the Canny edge detector. Its contributions over previous art are: a quantification of the localization bias as a function of the scale σ of the smoothing filter and the radius of curvature R o...

The sipping of ink through the pages of certain double-sided handwritten documents after long periods of storage poses a serious problem to human readers or OCR systems. This paper addresses this problem through the recovery of content on the front side of a page from the interfering image caused by the handwriting on the reverse side. First, by adapting the Gaussian stochastic model, the inter...

Edge detection is one of the most critical tasks in automatic image analysis. There exists no universal edge detection method which works well under all conditions. This paper shows the new approach based on the one of the most efficient techniques for edge detection, which is entropy-based thresholding. The main advantages of the proposed method are its robustness and its flexibility. We prese...

In this paper we present the state of the art for detecting text in images and video frames and propose an edge-based algorithm for artificial text detection in video frames. First, an edge map is created using the Canny edge detector. Then, morphological filtering is used, based on geometrical constraints, in order to connect the vertical edges and discard false alarms. A connected component a...

A relaxation algorithm for the computation of optic flow at edge elements (edgels) is presented. Flow is estimated only at intensity edges of the image. Edge elements, extracted from an intensity image, are used as the basis for the algorithm. A matching strength or weight surface is computed around each edgel and neighbourhood support obtained to enhance the matching strength. A principal mome...