Multiscale Edge Detection via Normal Changes p. 22 Extending Adjacency to Fuzzy Sets for Coping with Imprecise Image Objects p. 30 Adaptive Selection of Image Classifiers p. 38 Classification Reliability and Its Use in Multi-classifier Systems p. 46 Color Linear Model p. 54 A Computational Approach to Color Illusions p. 62 Improved Textured Images Segmentation Using an Energy Functional p. 70 C...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

measurements of the tilt angle of potential fields can be a useful aid to their interpretation. there are several varieties of the methods in use, such as tilt angle, and the derivative of tilt angle. tilt angle filters are used for exact edge detection of the rectangular bodies artificially by writing a matlab code. the gravity effects of these models are computed by standard algorithms. the e...

2 Examples of feature extraction techniques 2 2.1 Image processing basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Sobel edge detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Canny edge detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.4 Hough tra...

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The problem of detecting curves in visual images arises in both computer vision and biological visual systems. Our approach integrates constraints from these two sources and suggests that there are two different stages to curve detection, the first resulting in a local description, and the second in a global one. Each stage involves a different style of computation: in the first stage, hypothes...

Shadows cause problems in image processing. In this paper, a new methodology for shadow removal based on Strong Edge Detection (SED) method is proposed. The strong shadow edges are recognized by learning the patch based characteristics of shadow edges and then image features are analyzed to guide a Shadow Edge Classifier. Also, spatial patch smoothing is used to enforce uniformity between adjac...

Searching for texts inside a full comic strip may be exhaustive, and can be simplified by restricting the scope of the search to single panels, and better yet to within individual speech balloon. In this paper, a novel approach is devised where a tracking algorithm is employed for panel extraction, and speech balloons are identified using ‘Roberts’ edge detection operator as well as a classifie...

In this paper, a new method for edge detection in presence of impulsive noise based into the use of Support Vector Machines (SVM) is presented. This method shows how the SVM can detect edge in an efficient way. The noisy images are processed in two ways, first reducing the noise by using the SVM regression and then performing the classification using the SVM classification. The results presente...