This paper presents a review of techniques of binarization on camera images. Several algorithms have previously been proposed for improving the thresholding of degraded document images. No algorithm can solve all types of problems, but some algorithms are better than others for specific situations. This article reviews local binarization algorithms and global binarization algorithms for improvi...

The objective of image segmentation is to extract meaningful objects. A meaningful segmentation selects the proper threshold values to optimize a criterion using entropy. The conventional multilevel thresholding methods are efficient for bi-level thresholding. However, they are computationally expensive when extended to multilevel thresholding since they exhaustively search the optimal threshol...

Chein-I Chang, MEMBER SPIE University of Maryland Baltimore County Department of Computer Science and Electrical Engineering Baltimore, Maryland 21228-5398 E-mail: [email protected] Abstract. Entropic thresholding provides an alternative view to the design rationale of conventional thresholding. Abutaleb proposed a second-order entropic thresholding approach to improve Pun’s first-order ent...

Binarization is a process of separation of pixel values of an input image into two pixel values like white as background and black as foreground. It is an important part in image processing and it is the first step in many document analysis and OCR processes. Most of the binarization techniques associate a certain intensity value called threshold which separate the pixel values of the concerned...

BACKGROUND The imaging assessment of paraspinal muscle morphology and fatty infiltration has gained considerable attention in the past decades, with reports suggesting an association between muscle degenerative changes and low back pain (LBP). To date, qualitative and quantitative approaches have been used to assess paraspinal muscle composition. Though highly reliable, manual thresholding tech...