Introduction: The position estimation in gamma detection system will have constant misplacements which can be corrected in the calibration procedure. In the pixelated crystal uniformly irradiation of detector will produce irregular shape due to position estimation errors. This image is called flood field image and is used to calibrate the position estimation. In this work we pr...

A wavelet based technique for multiple point targets detection in InfraRed image sequences in presence of clutter is proposed. Most existing approaches assume target of several pixels size or of Gaussian shape with variance of 1.5 pixel. We develop detection and tracking algorithm for single pixel targets. We also propose a modified pipeline algorithm for tracking multiple single pixel targets ...

Most of the sub-pixel edge detection methods proposed in literature are based on Ghosal and Mehrotra’s method which uses Zernike moments. Some research has been reported using Fourier-Mellin moments for sub-pixel edge detection. Pseudo Zernike moments have been proved to be superior to Zernike moments in terms of their feature representation capabilities and sensitivity to image noise. This pap...

This paper describes the shot boundary detection and determination system developed at the Fraunhofer Institute for Telecommunications, Heinrich-HertzInstitut, used for the evaluation at TRECVID 2004. The system detects and determines the position of hard cuts, dissolves, fades, and wipes. It is very fast and has proved to have a very good detection performance. As input for our system, we use ...

License Plate Recognition (LPR) is the most important type of Intelligent Transportation System (ITS). LPR is used in many different types of ITS like electronic payment systems, toll station, parking fees, freeway and arterial management systems for traffic surveillance. Few years ago, Egyptians government changed the car license plate to include letters and numbers. So the needs for efficient...

This paper presents a new algorithm for color detection and segmentation of road signs based on fuzzy sets. The images were taken by a digital camera mounted in a car. The RGB image was converted into HSV color space, and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel in the HSV color space. The fuzzy rules are used to extract the colors of the ...

The framework of an automated vision system for monitoring quality control is presented where detection of various forms of defects is achieved by combining distributed artificial intelligence and image processing. A distributed blackboard architecture manages the processing of image data via an area of shared memory where the current understanding of the problem evolves. Registration into a co...

This work develops a new current-mode mixed signal Complementary Metal-Oxide-Semiconductor (CMOS) imager, which can capture images and simultaneously produce vehicle lane maps. The adopted lane detection algorithm, which was modified to be compatible with hardware requirements, can achieve a high recognition rate of up to approximately 96% under various weather conditions. Instead of a Personal...

Intelligent well technology has provided facility for real time production control through use of subsurface instrumentation. Early detection of water production allows for a prompt remedial action. Effective water control requires the appropriate performance of individual devices in wells on maintaining the equilibrium between water and oil production over the entire field life. However, there...

We address the problem of contour detection via per-pixel classifications of edge point. To facilitate the process, the proposed approach leverages with DenseNet, an efficient implementation of multiscale convolutional neural networks (CNNs), to extract an informative feature vector for each pixel and uses an SVM classifier to accomplish contour detection. The main challenge lies in adapting a ...