Text Locating from Natural Scene Images Using Image Intensitie

Ji Soo Kim, Sang-Cheol Park, Soohyung Kim
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引用次数: 25

Abstract

In this paper, we propose three text extraction methods based on intensity information for natural scene images. The first method is composed of gray value stretching and binarization by an average intensity of the image. This method is appropriate to extract texts from complex backgrounds. The second method is a split and merge approach which is one of well-known algorithms for image segmentation. The third one is a combination of the two. Experimental results show that the proposed approaches are superior to conventional methods both in simple and complex images.
利用图像强度从自然场景图像中定位文本
本文提出了三种基于强度信息的自然场景图像文本提取方法。第一种方法由灰度值拉伸和图像平均强度二值化组成。该方法适用于从复杂背景中提取文本。第二种方法是分割和合并方法,这是一种著名的图像分割算法。第三种是两者的结合。实验结果表明,该方法无论在简单图像还是复杂图像上都优于传统方法。
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