Cristina Diana Niţă

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A retinal vessel classification procedure is proposed. In a first step, from the thinned vessel image, a vascular graph is extracted and filtered. Then the graph edges near the optic disc are localized and the main branches connected to these initial edges are identified. For each graph with at least two starting branches, various label configurations are(More)
A novel similarity metric is proposed here for evaluating the performance of various image denoising and restoration techniques. A testing methodology implying four types of noise contamination on medical images has been used to determine a vital threshold used in the computation of the proposed similarity index. The results are described along with values(More)
In image analysis and computer vision applications the results precision and correctness depend on the quality of processed images. The most common parameter which subjectively defines the image quality is its contrast. In this paper an image contrast enhancement procedure based on multiobjective optimization is proposed. The contrast gain which has to be(More)
In optimization problems, nature inspired algorithms are able to generate near optimal solutions faster than other optimization algorithms. Based on nature intelligence, these algorithms are preferable especially when the function to be optimized is computationally intensive. In this paper it is proposed an image registration procedure based on the(More)
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