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With the development of modern transportation system, the technology of Intelligent Transportation System has attracted more and more interests from research and industry communities. Road traffic sign recognition is one of the most important topics in this field. The traditional methods excessively rely on image morphology, segmentation and various image feature extractions, however most of the methods...
Traffic lights recognition is important to make intelligent vehicles safe. Most of existing means to detect and recognize traffic lights focus on color, size and shape of traffic lights, which are great affected by weather and illumination conditions. In this work, we utilize deep learning and SVM classifiers to recognize traffic lights for varying illumination conditions. More specifically, a PCA...
This paper presents an automated system for grading pathological images of prostatic carcinoma based on a set of texture features extracted by multi-categories of methods including multi-wavelets, Gabor-filters, GLCM, and fractal dimensions. We apply 5-fold cross-validation procedure to a set of 205 pathological prostate images for training and testing. Experimental results show that the fractal dimension...
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