Adaptive binarization methodologies threshold the intensity of pixels with respect to adjacent exploiting integral images. In turn, images are generally computed optimally using summed-area-table algorithm (SAT). This document presents a new adaptive technique based on fuzzy through an efficient design modified SAT for integrals. We define this methodology as FLAT (Fuzzy Local Thresholding). Th...

A point machine's gap is an important indication of its healthy status. An edge detection algorithm is proposed to measure and calculate a point machine's gap from the gap image captured by CCD plane arrays. This algorithm integrates adaptive wavelet-based image denoising, locally adaptive image binarization, and mathematical morphology technologies. The adaptive wavelet-based image denoising o...

The paper presents a binarization scheme that converts non-binary data into a set of binary strings. At present, there are many binarization algorithms, but they are optimal for only specific probability distributions of the data source. Overcoming the problem, it is shown in this paper that the presented binarization scheme conserves the entropy of the original data having any probability dist...

This paper examine the workability of watermark embedding in the discrete cosine transform (DCT) domain for binary images. Watermark embedding is quite difficult for binary images due to its prevalence and compactness. This presents a watermarking algorithm for binary images. A post-embedding binarization is a necessary step to ensure that the watermarked image is still a binary image for frequ...

A new binarization method for crack detection in road surface image is proposed. A road surface image is consist of high frequency textures due to it's rough surface and some cracks which can have wide variation of it's form, depth, width and direction. So it is dicult to nd threshold value to discriminate a background and a crack region by conventional methods based on gray level histgram. As ...

This paper presents some aspects of the (gray level) image binarization methods used in artificial vision systems. It is introduced a new approach of gray level image binarization for artificial vision systems dedicated to the specific class of applications for moving scene in industrial automation – temporal thresholding. In the first part of the paper are remarked some limitations of using th...

Challenges for text processing in ancient document images are mainly due to the high degree of variations in foreground and background. Image binarization is an image segmentation technique used to separate the image into text and background components. Although several techniques for binarizing text documents have been proposed, the performance of these techniques varies and depends on the ima...

Almost all binarization methods have a few parameters that require setting. However, they do not usually achieve their upper-bound performance unless the parameters are individually set and optimized for each input document image. In this work, a learning framework for the optimization of the binarization methods is introduced, which is designed to determine the optimal parameter values for a d...

This paper proposes a novel watermarking scheme against geometric attacks, combined with the holographic technology and the log-polar transform. In this paper, we first use discrete cosine transform into the original image, then do edge detection for the low frequency part, then do log-polar transform to edge image and make it binarization. We use a key to choose a certain size of the binary im...