Description

The overall aim of this research is to explore the application of artificial intelligence technique to navigate mobile robot using image processing. These technologies have a wide range of potential application fields, which include the exploration of inaccessible or hazardous environments, industrial automation, and also biomedicine. In this research area, the development of the decision and control strategies necessary for autonomous operation plays a central role. A set of methodologies called qualitative or approximate reasoning have been developed to build a decision making approach in systems where all uncertainties cannot be avoided or corrected. These methodologies attempt to capture some aspects of the human behavior in system control. Their aim is to incorporate implicitly the uncertainties in the information gathering and reasoning process, rather than to determine explicitly them through numerical calculations or mathematical representations. In the proposed approach, initially performed the morphology operation which are the dilation and erosion process. Dilation is one of the two basic operators in the area of mathematical morphology, the other being erosion. It is typically applied to binary images, but there are versions that work on grayscale images. The basic effect of the operator on a binary image is to gradually enlarge the boundaries of regions of foreground pixels (i.e. white pixels, typically). Thus areas of foreground pixels grow in size while holes within those regions become smaller. Erosion is one of two fundamental operations (the other being dilation) in morphological image processing from which all other morphological operations are based. It was originally defined for binary images, later being extended to grayscale images, and subsequently to complete lattices. Finally the transformed the morphology image is converted to Hough transform domain. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.