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4.340  Articles
1 of 434 pages  |  10  records  |  more records»
To diagnose diabetic retinopathy is to segment the blood vessels of the retinal, but the retinal images in the DRIVE and STARE datasets have varying contrast, so the enhancement is needed to obtain a stable image contrast. In this study, image enhancement... see more

Image thresholding is used to segment an image into background and foreground using a given threshold. The threshold can be generated using a specific algorithm instead of a pre-defined value obtained from observation or experiment. However, the algorithm... see more

Diabetic Retinopathy is a diabetes complication that usually results in abnormalities in the retinal blood vessels of the eye, resulting in blurry vision, including blurry vision and blindness. Automatic segmentation of blood vessels in retinal images can... see more

Diabetic Retinopathy is a diabetes complication that usually results in abnormalities in the retinal blood vessels of the eye, resulting in blurry vision, including blurry vision and blindness. Automatic segmentation of blood vessels in retinal images can... see more

There are many approaches available to separate the background and foreground in image processing applications. Currently, researchers are focusing on wavelet De-noising, curvelet threshold, Edge Histogram Descriptor threshold, Otsu thresholding, recursiv... see more

The discrete wavelet transform is commonly used as a denoising step for many applications, like biomedical applications which are usually suffering from low SNR of the recorded signal. However, the choice of appropriate threshold value for DWT coefficient... see more

Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. In this paper, we proposed a novel adaptive approach modeling background and segmenting moving object with non-par... see more

Resumen: Este trabajo describe la implementación y evaluación cuantitativa de un método automático para la segmentación precisa de imágenes cerebrales de resonancia magnética (RM). El método se basa en la umbralización adaptativa multinivel del histograma... see more

Motion Estimation (ME) is a very critical part of any video encoder and different fast ME algorithms are proposed to reduce the overhead of computational cost that was available in encoding system. This paper proposes a Modified Adaptive Predict Hexagon B... see more

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