FUZZY MORPHOLOGICAL POLYNOMIAL IMAGE REPRESENTATION

Fuzzy Morphological Polynomial Image Representation

A novel signal representation using fuzzy mathematical morphology is developed.We take advantage of the optimum fuzzy fitting and the efficient implementation of morphological operators to extract geometric information from signals.The new representation provides results analogous to those given by the polynomial transform.Geometrical decomposition

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Evaluating Impact of Image Transformations on Adversarial Examples

Deep learning has revolutionized image recognition.One significant obstacle still remains, the vulnerability of these models to adversarial attacks.These attacks manipulate images with subtle changes that cause CNN misclassification.While methods, such as adversarial training, have been benify toyota proposed to defend against adversarial attacks,

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