Atrial Fibrillation Detection Using a Feedforward Neural Network

Quad-pixel edge detection using neural network

One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...

Quad-pixel edge detection using neural network

One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...

Image Interpolation using Feedforward Neural Network

As various kinds of output devices emerged, such as highresolution printers or a display of PDA(Personal Digital Assistant), the importance of high-quality resolution conversion has been increasing. This paper proposes a new method for enlarging image with high quality. One of the largest problems on image enlargement is the exaggeration of the jaggy edges. To remedy this problem, we propose a ...

Feedforward control of a mobile robot using a neural network

Modeling Camera Image Formation Using a Feedforward Neural Network

One fundamental problem in computer vision and image processing is modeling the image formation of a camera, i.e., mapping a point in three-dimensional space to its projected position on the camera’s image plane. If the relationship between the space and the image plane is assumed to be linear, the relationship can be expressed in terms of a transformation matrix and the matrix is often identif...