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- W2908486516 abstract "The objective of vision based gesture recognition is to design a system, which can understand the human actions and convey the acquired information with the help of captured images. An image restoration approach is extremely required whenever image gets blur during acquisition process since blurred images can severely degrade the performance of such systems. Image restoration recovers a true image from a degraded version. It is referred as blind restoration if blur information is unidentified. Blur identification is essential before application of any blind restoration algorithm. This paper presents a blur identification approach which categories a hand gesture image into one of the sharp, motion, defocus and combined blurred categories. Segmentation based fractal texture analysis extraction algorithm is utilized for featuring the neural network based classification system. The simulation results demonstrate the preciseness of proposed method." @default.
- W2908486516 created "2019-01-11" @default.
- W2908486516 creator A5007107453 @default.
- W2908486516 date "2018-12-25" @default.
- W2908486516 modified "2023-09-24" @default.
- W2908486516 title "Blur Classification Using Segmentation Based Fractal Texture Analysis" @default.
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- W2908486516 doi "https://doi.org/10.52549/ijeei.v6i4.463" @default.
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