Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

This paper describes a technique for extracting moving targets and robustly tracking them from real time video sequence. It consists of two phases: Initial segmentation, temporal tracking and optimal paraimeter selection. After target detection subsequent tracking is based on a modified Canny edge detection and accelerated Hausdorff measure. The modified canny edge detection algorithm produces ...

The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of a remotely sensed image based on this principle. The target image was divided into regions based on object-oriented multiresolution segmentation and edge-detection. Furthermore, object hierarchy was created, and a series of features (water bodies, vege...

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...

In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (MFI), originally developed by Mitsubishi Electric Labs, to detect depth discontinuities. Illuminations of different wavelengths are projected from multiple positions, providing additional information about a scene compared...

This paper concerns the in#uence of edge direction on the estimation of edge contrast and orientation. We present an analytical study of general "rst-order detectors. We show that the gradient estimated using radial "lters is not a!ected by edge orientation. For non-radial "lters, the gradient may be a!ected by edge orientation. For instance, we "nd that the estimated edge orientation using a n...

Image Edge Detection is one of the most important parts of image processing. In this paper, by fuzzy technique, a new method is used to improve digital image edge detection. In this method, a 3x3 mask is employed to process each pixel by means of vicinity. Each pixel is considered a fuzzy input and by examining fuzzy rules in its vicinity, the edge pixel is specified and by utilizing calculatio...

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...

This paper presents a new method for edge detection using one-dimensional processing. The Discrete Hilbert Transform of a Gaussian function is used as an edge detection lter. The image is smoothed using 1-D Gaussian along the horizontal (or vertical) scan lines to reduce noise. Detection lter is then used in the orthogonal direction, i.e., along vertical (or horizontal) scan lines to detect the...

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...