Robot Vision Applications Using Convolution for Image Processing

Digital Image Processing In Robot Vision

ii Abstract This report documents the modifications made to the frame processing module of the NUbot vision system for improvement in robot soccer competition and particularly in the variable lighting challenge. The frame processing module involves the classification of images with respect to a look up table (LUT), a new system of secondary colour classification for blue robots that uses edge d...

Real Time Image Processing Architecture for Robot Vision

This paper presents a study of the impact of MMX technology and PIII Streaming SIMD (Single Instruction stream, Multiple Data stream) Extensions in image processing and machine vision application, which, because of their hard real time constrains, is an undoubtedly challenging task. A comparison with a traditional scalar code and with another parallel SIMD architecture (IMAP-VISION board) is di...

Applications of Convolution in Image Processing with MATLAB

Vision Processing for Robot Learning

Robot learning | be it unsupervised, supervised or self-supervised | is one method of dealing with noisy, inconsistent, or contradictory data that has proven useful in mobile robotics. In all but the simplest cases of robot learning, raw sensor data cannot be used directly as input to the learning process. Instead, some \meaningful" preprocessing has to be applied to the raw data, before the le...

Cubic Convolution Interpolation for Digital Image Processing

Absfrucf-Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be performed efficiently on a digital computer. The cubic convolution interpolation function converges uniformly to the function being interpolated as the sampling increment approaches zero, With the appropri...