DETECTION AND RECOGNITION ON PARAMETERS OF BLURRED IMAGES INTERNAL STRUCTURE
The detection of objects, the key technology in the field of image recognition, is the base of accuracy improvement of image recognition process. In this paper, a model is provided for detection and recognition of a blurred images internal structure. This model, which is based on Moment and Hough, combines geometric features as its parameter identification, and its evaluation criteria is matching percent and algorithm efficiency. The restoration of blurred images and the recognition, position and detection of graphics internal structure can be completed effectively and accurately. In addition, good experimental results were obtained by using this algorithm, even though the objects were covered by each other or nested, which proves the model is applicable on practical application.
Hough Moment Internal structure Recognition of blurred image
GANG XU XU MENG
School of electrical and electronic engineering, north china electric power university, Beijing 102206, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2825-2830
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）