Text and Picture Segmentation by the Distribution Analysis ofWavelet Coe cients
نویسندگان
چکیده
This paper presents an algorithm to segment text and picture in an image using two features based on the statistical distribution of the wavelet coeecients in high frequency bands. The algorithm breaks the image into blocks and classiies every block as background , text or picture according to the two features. The block size is variable so that the segmentation can be accurate at the boundary of two types and avoids misclassifying due to over-localized region analysis.
منابع مشابه
Text and Picture Segmentation by the Distribution Analysis of Wavelet
Statistical classi cation is an important topic in image processing. Classi cation helps to interpret images, and it can be incorporated into other image processing algorithms, e.g., image compression [1], to improve performance. A particularly interesting type of classi cation is the segmentation of pictures and text. By pictures, we mean continuous-tone images such as photographs. By text, we...
متن کاملText and Picture Segmentation by the Distribution Analysis of Wavelet Coefficients
This paper presents an algorithm to segment text and picture in an image using two features based on the statistical distribution of the wavelet coe cients in high frequency bands. The algorithm breaks the image into blocks and classi es every block as background, text or picture according to the two features. The block size is variable so that the segmentation can be accurate at the boundary o...
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