Extraction of Character String Areas from Color Scenery Image Using Extended Psychological Potential Field
نویسندگان
چکیده
As digital cameras have been used widely, a technology to extract features of character string areas from scenery (nature) image is required. However, it is very difficult to extract character string areas from a complex background of scenery image as compared with a relatively simple background of documentary image. Human can extract character string areas from scenery image having complex background. Therefore, a fairly high degree of accuracy in the extraction of character string areas may be attained by imitating the human visual processing system. In this paper we proposed the method to extract character string areas from color scenery images using the extended psychological potential field (imitating the human visual processing system). The conventional psychological potential field method has the problem that it is hard to be applied to multilevel images such as color scenery images. This paper proposes a new extended psychological potential field method that has improved the conventional method so that it can be applied to multilevel images such as color scenery images. The new extended psychological potential field method proved that processing results closer to the human visual processing system could be obtained by adopting the shielding effects in accordance with the pixel value and distance. 1 Flow of Proposed Method nary images in which the brightness difference is constant. However, color scenery images discussed in this paper need to determine H because the brightness differences between figures and the background are not constant. This paper indicates figure clearness H using the color difference (differences between colors) between figures and the background. The International Commission on Illumination (CIE) recommends the u n i f o y .cqlor space and color difference formula by CIE LAB (L a b ) as methods for quantitatively indicating the c0,Io.r flifference between two colors. This paper uses the L a b color system as color space and defines figure clearness H a s shown in formula 1 (Fig. I).
منابع مشابه
Extraction of Character String Areas from Color Scenery Image Using Psychological Potential Field
As digital cameras have been used widely, a technology to extract features of character string areas from scenery (nature) image is required. However, it is very difficult to extract character string areas from a complex background of scenery image as compared wit,h a relatively simple background of documentary image. Human can extract of character string areas from scenery image having complex...
متن کاملExtraction of Character String Regions from Scenery Images Based on Contours and Thickness of Characters
This paper describes a method to find strings of characters from natural scene images. It finds character candidates by taking particular note of closed contours in an image, and detects character strings by evaluating their size and line consistency. In the case of low resolution images, some disadvantageous condition occurs, for instance, only a part of actual contour may be able to be found ...
متن کاملNeural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...
متن کاملBook Recognition from Color Images of Book Shelves
This paper describes a new approach for book recognition, where color images of the spines of books are analyzed to identify books displayed on book shelves. First, edges of HSY images are unified to one edge image considering the color features of the spines of each book. The color information in the images is effective for segmenting images to robustly extract book boundaries. The approach ma...
متن کاملOrientation and Scale Invariant Text Region Extraction in WWW Images
Text extraction from a web image is important for web indexing because the text can contain a key information of the web. This paper presents a method to detect a text with various orientation and multifont sizes in a web image. The proposed method consists of three steps; 1) color reduction of low resolution web image by a spatial merging algorithm, 2) extraction of character candidates by fin...
متن کامل