The Research Of Automatic Text Extraction And Removal In Color Images

As the rapid development of computer science and multimedia technology, the multimedia information, mainly composed of color images, has rapidly become an important general information media. Texts in color images, such as news headlines,aside etc, usually contain much high level semantic information. So it is very helpful for indexing and retrieving images to recognize and analyze those texts automatically extracted from images. On the other hand, it is also significant for image reusing and image intercommunication among different languages to remove texts embedded in images, restore the background occupied by texts, and then adding multi-language texts to the restored color images.Using the feature of distinct edge contour existing between the text and the background regions in color images, a novel text extraction algorithm—CEMA(Color-edge detection, Morphology, logic operator"AND") is proposed in this thesis for video images. In the CEMA algorithm, three color edge detection operators in vertical, horizontal and diagonal directions are employed separately to obtain three edge images from the original image,...