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The well-known bilateral filter is used to smooth noisy images while keeping their edges. This filter is commonly used with Gaussian kernel functions without real justification. The choice of the kernel functions has a major effect on the filter behavior. We propose to use exponential kernels with L1 distances instead of Gaussian ones. We derive Stein's Unbiased Risk Estimate to find the optimal parameters...
A novel hybrid and repetitive smoothing-sharpening (HRSST) technique is proposed and its impact is assessed to beneficially enhance sonogram and mammogram images. The technique aims to gain and combine the advantages of both the sharpening process that aims to highlight sudden changes in the image intensity, with the advantages of iterative image smoothing, which is usually applied to remove random...
The old documents in Jawi script are being used widely for references. The hard copies of those scripts will deteriorate as time passes. Most of the previous works on Jawi documents focused on the character recognition and the accuracy of the algorithm was very much affected by noise. An effective preprocessing method is required to binarize degraded Jawi document. In this paper, a new technique to...
This paper presents a system for a design and implementation of Optical Arabic Braille Recognition(OBR) with voice and text conversion. The implemented algorithm based on a comparison of Braille dot position extraction in each cell with the database generated for each Braille cell. Many digital image processing have been performed on the Braille scanned document like binary conversion, edge detection,...
We describe and compare methods for detecting rectangles in images using Hough and Radon transforms. Locating rectangles in a new image involves an alternating scheme of transform peak extraction and peak filtering. During the step of peak extraction, we apply the hough/radon transform on the target image and extract peaks (corresponding to line segments) from the transformed image. We filter these...
Interest points are widely used in computer vision applications such as camera calibration, robot localization and object tracking that require fast and efficient feature matching. A large number of techniques have been proposed in the literature. This paper evaluates the state of art techniques for interest point detection including execution time and suitability for real time applications. Such...
Iris recognition system provides automatic identification of an individual based on a unique feature of iris pattern possessed by the individual. Iris recognition is regarded as the most stable and accurate biometric identification system. An iris recognition system basically consists of four steps:segmentation; normalization; encoding; and matching. This paper proposes a new approach for iris segmentation...
Over the past 20 years there have been many papers that compare and evaluate different edge operators. Most of them focus on accuracy and also do comparisons against synthetic data. This paper focuses on real-world driver assistance scenes and does a comparison based on robustness. The three edge operators compared are Sobel, Canny and the under-publicized phase-based Kovesi-Owens operator. The Kovesi-Owens...
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