Machine Vision-based Image Acquisition And Processing System

Machine vision technology is widely applied in many fields. In this paper, a system for acquisition, transferring and analysis of image based on machine vision is described. The communication and interface between image collection system and machine vision - based analysis system, the control and transferring trough firmware, the realization of image collection and realization of application by software was discussed. Proved by experiment, the system has great value in engineering.A typical machine vision system include: image collection system, transfer system, early vision system, mid-level vision system and high-level vision system. The image collection system is designed based on MCU and flash memory. The transfer system on TCP/IP is a connection between image collection system and machine vision system.Early vision and mid-vision is very important, include grayscale processing, linear filter and edge detection etc. In the end, this paper combines machine vision technology into a research for rapid face detection and recognition, and describes rapid object detection algorithm using a boosted cascade of haar-like features and HMM. A set of rotated haar-like features is introduced. These features can also be calculated efficiently. The complete face detection and recognition system are available.Finally, the research achievements of the paper are summarized.