10-06-2013, 04:04 PM
COLOUR AND POSITION DETECTION OF A SET OF REGULAR OBJECTS USING IMAGE PROCESSING TECHNIQUES
COLOUR AND POSITION.doc (Size: 86 KB / Downloads: 21)
IMAGE PROCESSING
Image Processing is a tool for analyzing image data in all areas of natural science. It is concerned with extracting data from real-world images. Differences from computer graphics is that computer graphics makes extensive use of primitives like lines, triangles & points. However no such primitives exist in a real world image.
PROBLEM STATEMENT
Position and colour determination of a set of regular objects using image processing technique. Tools like matlab,java etc used. Techniques like image acquisition, filtering,enhancement,threshold and edge determination performed
COMPONENTS OF IP SYSTEM
Camera, Scanner, other image acquisition software.PC or workstation or DSP kit.Software to run on the hardware platform.To process an image, a representation or model is necessary.An image is a spatial distribution of irradiance in a plane .
POSSIBLE REPRESENTATION OF IMAGES
(1)Matrix
(2)Quadtrees
(3)Chains
(4)Pyramid. Of the four, matrix is the most general. The other three are used for special purposes. All these representations must provide for spatial relationships.
Applications of image processing
1.Computer Vision-Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner.As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision, on the other hand, studies and describes artificial vision system that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields.