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Severe weather conditions cause enormous amount of damages around the globe. Bow echo patterns in radar images are associated with a number of these destructive thunderstorm conditions such as damaging winds, hail and tornadoes. They are detected manually by meteorologists. In this paper, we propose an automatic framework to detect these patterns with high accuracy by introducing novel skeletonization...
This paper presents a new algorithm for the detection and classification of real-time road traffic signs in the video. Our system is able to detect and classify triangular, circular, and octagonal signs of red and blue colors. The proposed system operates into two processing steps: (1) detection and (2) classification road signs. The system has detected candidate regions as Maximally Stable Extremal...
Many of object detection methods are based on training phase. Theses methods are constrained to a known object. In this paper, we present a free training method for object detection that can deal with large viewpoint change. We exploit Dempster theory to combine between multiple descriptors in a multi stage method. To show the effectiveness of the technique, we apply it on multiple images from Coil100...
Color segmentation is a preliminary step in many application computer vision systems today, as the detection of human movement, recognition of road traffic signs and video intelligent. Detection stage performance is therefore closely linked to the results obtained from the color segmentation. Detection and recognition automatic road traffic signs are applied in the color spaces RGB, HSV, and HSI....
In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching,...
In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching,...
In this paper, we propose a fully automated method able to perform accurate nuclear segmentation in immunohistochemical breast tissue images in order to provide quantitative assessment of estrogen receptor's status that will help pathologists in their diagnosis. The presented approach is based on color deconvolution and an enhanced morphological processing, which is used to identify positive stained...
Omnidirectional cameras are becoming increasingly popular in computer vision and robotics. Before performing any task, camera calibration is a step involving metric scene measurement, required in nearly all robotics tasks. In recent years many different methods have been developed to calibrate central omnidirectional cameras. They are based on different camera models and often limited to a specific...
In this work a new method for image edge detection based on multilayer perceptron (MLP) is proposed. The method is based on updating a MLP to learn a set of contours drawn on a 3×3 grid and then take advantage of the network generalization capacity to detect different edge details even for very noisy images. The method is applied first to Gray scale images and can be easily extended to color ones...
Typically, oracles used to test graphical user interface(GUI) programs highly depend on environmental factors that are not related to the functionality of the program, such as screen resolution and color schemes. To accommodate these on-functional variations, researchers suggested fuzzy comparison rules that determine whether the output of a GUI program matches the oracles. Others suggested computer...
Automatic segmentation of stained breast tissue images helps pathologists to discover the cancer disease earlier. Separation of touching cells presents many difficulties to the traditional segmentation algorithms. In this paper, we propose a new automatic method to segment clustered cancer cells. In the first step, we detect cell regions using a modified geometric active contour based on Chan-Vese...
Semantic metadata are not yet fully integrated in most learning metadata profiles. Moreover, when it is supported it is only used to improve the quality of results returned by search engines in LOR (learning object repositories) and LMS (Learning Management Systems). Within the framework of APOGE project, we want to demonstrate the usability of semantic metadata, when they are provided, during the...
In many cases a picture is described in terms of various plane objects and their shape. This paper describes a parser whose input is a piecewise linear encoding of a contour and whose output is a string of high-level descriptions: arcs, corners, protrusions, intrusions, etc. Such a representation can be used not only for description but also for recognition. Previous syntactic techniques for contour...
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