Research On Target Recognition And Processing Methods In Machine Vision Image

It’s a hot issue in the study of machine vision about target recognition and processing methods. That is a key technology in the field of machine intelligence. That is also the basis for machine to realize perceptual or cognitive ability. Text information in visual image, is a kind of special visual object, can reflect the important details of the image, and concisely descript or explain the content of image, which is a significant clue to get comprehension of high- level semantics of the image or video. Automatically fix the target region, extract, identify and analyze. That has good application in machine intelligence and other areas.Processing methods of machine vision image is the basis and key contents of application of machine vision technology, The main tasks of this paper are:First, the paper introduces the common knowledge used in machine vision image processing: color images gray processing, image enhancement technology, image segmentation method based on a threshold, the basic operations of mathematical morphology and several commonly used edge detection operators; To achieve skilled in using machine vision commonly used processing methods.And then, it summarizes the text region’s characteristics in visual image, reviews the target region localization algorithm in current research, analyses and compares the advantages and disadvantages of the algorithm, and thereby proposes text localization method based on the edge detection and the analysis of connected domain.At last, in the target region restoration, it adopts to image restoration technology based on the structure of texture restoration to recover the background region shadowed by target regions, and ameliorate the algorithms for texture restoration priority and matching block searching method; after the experiments for different sizes of the image, the results prove that the algorithm this paper proposes can reduce the mismatch of the image, and enhance speed of the image restoration; finally the paper implements the automatic detection and removal of target in visual images.