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Segmentation and Classification of Tumour Regions from Brain Magnetic Resonance Images by Neural Network-Based Technique
Published in Saravanan Krishnan, Ramesh Kesavan, B. Surendiran, G. S. Mahalakshmi, Handbook of Artificial Intelligence in Biomedical Engineering, 2021
J. V. Bibal Benifa, G. Venifa Mini
In a mathematical insight, Gaussian function is applied to minimize the noise exists in the MRI images (Chaddad, 2015). When an image is blurred by the influence of Gaussian function then it is called as Gaussian blur or Gaussian smoothing. The visual outcome of Gaussian blurring method is a smooth blur that is similar to the visualization of a MRI through a transparent screen. Gaussian smoothing can also be exploited in the preprocessing phase of computer vision-based algorithms to improve the image structures. Further, it minimizes the high-frequency components of an input image. One of the essential characteristics of Gaussian filters is to have zero overshoot to a step function input as the rise and fall duration is minimized. A Gaussian filter whose impulse response is a Gaussian function and it transforms the input signal by convolution and this transformation is called as the Weierstrass transform (Kavitha and Chellamuthu, 2013).
Vision-based Hand Gesture Recognition for Indian Sign Language Using Convolution Neural Network
Published in IETE Journal of Research, 2023
In order to segment the hand region only, the depth image is transformed into the gray image (8bit). Applied the Guassion blur to reduce the noise in the gray image. Gaussian blur is used to reduce the noise in the image. It uses a Gaussian function, which can be described as: Where x and y is the distance from the origin in the x-axis and y-axis, respectively, and σ is the standard deviation of the Gaussian distribution.
Pre-study for facilitating the discovery of microfluidic properties in blood vessels using retinal fundus images
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022
Adel Elamari, Amine Ben Slama, Hedi Trabelsi, Ezeddine Sediki
The Gaussian blur is a type of fundus image-blurring filter that uses a Gaussian function, which also expresses the normal distribution in statistics, to calculate the transformation to be applied to each pixel in the image. The equation of a Gaussian functions in two dimensions is governed by equation (46)..