Allows edge recognition. CurveletUtils employs the discrete curvelet transform to extract information about directionality and magnitude of features in the image at selected levels of detail. It is able to identify elongated structures in the images, such as membranes. This tool enables a multilevel decomposition of the image, subsequently the magnitudes of the curvelet coefficients signify intensity variations on their level of detail.
Makes edge feature extraction from massive numbers of images. This algorithm is based on the combination of the MapReduce parallel programming model with a traditional edge detection algorithm. It implements and runs in parallel the Otsu-Canny algorithm. This software is able to deal with massive datasets and achieves good performance in terms of the speedup, sizeup, and scaleup evaluation metrics.
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