Mohammed Al-Rawi

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The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database.(More)
Due to the importance of the matched filter in the automated detection of blood vessels in digital retinal images, improving its response is highly desirable. This filter may vary in many ways depending on the parameters that govern its response. In this paper, new parameters to optimize the sensitivity of the matched filter are found using genetic(More)
The fast computation of Zernike moments from normalized geometric moments has been developed in this paper. The computation is multiplication free and only additions are needed to generate Zernike moments. Geometric moments are generated using Hatamian’s filter up to high orders by a very simple and straightforward computation scheme. Other kinds of moments(More)
In this paper, we study the strategic coexistence of macro and pico cells and investigate a utility based resource allocation technique for heterogeneous networks. Aiming at finding an objective driven allocation of resources, we focus on time domain inter-cell interference coordination (ICIC) techniques. Macro and pico cells optimally select their almost(More)
Automatic music transcription has gained momentum in years due to the several benefits it provides as educational resources to give budding musicians hints during composition and/or training exercises. Unlike western music, Arabian music has gained only limited attention in literature over the past years. Moreover, analysis of Arabian music tones is more(More)
In this paper we study the performance of the Heuristic Localized Gradient Algorithm (HLGA) that was designed for uplink scheduling in 3G long term evolution (LTE) systems. The performance of the algorithm is examined when dynamic traffic models are assumed. With dynamic traffic, users will have different buffer occupancies. The amount of resources granted(More)
Zernike moments are important digital image descriptors used in various applications starting from image watermarking to image recognition. Lots of fast algorithms have been proposed to speedup the computation of Zernike moments. This work provides computational complexity analysis of methods for the computation of Zernike moments, as well as a thorough(More)
In this paper, illumination-affine invariant methods are presented based on affine moment normalization techniques, Zernike moments, and multiband correlation functions. The methods are suitable for the illumination invariant recognition of 3D color texture. Complex valued moments (i.e., Zernike moments) and affine moment normalization are used in the(More)