Research And Application Of Color Segmentation In Multi-scale Pointer Meters

The image segmentation, which is the first essential and fundamental issue in the image analysis and pattern recognition, is a classical difficult problem in the image processing. The color images, which possess more visual information than the gray images do, have aroused more and more attentions. The research object of this paper is using color image segmentation into the system which identifies the multi-scale pointer meters. By adding a new color image segmentation method to the traditional instrument recognition system, we can improve the previous instrument identification system.This thesis mostly discusses the image processing and recognition means of the multi-scale pointer meters, by using the technology of color extracting and image segmentation. This paper introduces the theory of colorized image processing, makes the multi-scale pointer meters that have obvious character of color be the emphases of research, uses the technology of color extracting and image segmentation to extract the colorful part of the scale line which should be identified and uses many image processing technology to bring forward a new color image segmentation method for using into the system which identifies the multi-scale pointer meters. Through a great deal of experiments, this method fully uses the color information, and has good processing result, and this method establishes the basic for identifying the scale value.Besides, in order to know the physical means of the scale value, this paper uses the template matching method to identify the characters which beside scale lines, it establishes the basic for identifying the scale value. Through a great deal of experiments, this method has satisfying processing result.