A Method of Scene Image Text Detection Based on Morphological Component Analysis and Adaptive Dictionary Learning

Abstract

The invention relates to a method for scene image character detection based on morphological component analysis and adaptive dictionary learning, belonging to the technical field of digital image processing. First construct the sample data and train two initial dictionaries: a text dictionary and a background dictionary; then calculate the dictionary and the corresponding dictionary and background of the image to be detected by the trained initial dictionary, the image to be detected and the adaptive dictionary learning algorithm Sparse representation coefficients; then reconstruct the text image in the image to be detected by the adaptive dictionary and the sparse representation coefficient corresponding to the image to be detected; use heuristic rules to process the reconstructed text image to detect the candidate text area in the image to be detected ;Finally, frame the final text area with a rectangle. The invention enables the computer to automatically understand the semantic information contained in the image, and provides strong support for blind-guiding technology, license plate recognition and vehicle location tracking technology, image retrieval technology and the like.

Description

technical field [0001] The invention relates to a method for scene image character detection based on morphological component analysis and adaptive dictionary learning, belonging to the technical field of digital image processing. Background technique [0002] Since entering the 21st century, the Internet industry has developed rapidly, coupled with the vigorous development of smart phones in recent years, the digital information on PC and mobile terminals is growing rapidly. Digital images and videos are just one of the main elements of today's digital world. Digital images and videos often contain a large number of text areas, and these text information are important clues to understand the meaning of the images and videos. How to extract text information from complex natural scene images will have extraordinary significance for image understanding and image retrieval. Therefore, the research on text positioning technology in scene images has attracted many scholars at hom...

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a method for scene image text detection based on morphological component analysis and adaptive dictionary learning, so as to solve the problem in the prior art that it is difficult to study scene image text detection. The scene image of the present invention The text detection method can provide strong support for upper-level applications such as image and video understanding and retrieval in different application scenarios

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