This paper presents an image processing tool, part of an image retrieval system, that provides digitization of songket motifs extracted from songket patterns. Songket motifs are acquired from their original songket fabrics and digitized into binary form by using several image processing techniques. This paper describes the digitization process and experiments conducted on fifty textile motifs u...

Readability of document images is one core issue when analysing historical documents. One way to improve the readability of those document images is image binarization. By separating the written text from its background, documents degraded by, e.g., stains or faded ink become better readable. Due to the large quantity of available historical document images, this binarization needs to be done e...

the threshold value is determined by using the maximum betweencluster variance method; however, this algorithm is less effective when the contrast between the background and the characters is low since the spatial correlation between pixels is not taken into consideration (9, 10). Bernsen’s method calculates gray values for the neighborhood area around each point and dynamically determines the ...

In literature, we can find different metrics to evaluate the detected edges in digital images, like Pratt's figure of merit (FOM), Jaccard's index (JI) and Dice's coefficient (DC). These metrics compare two images, the first one is the reference edges image, and the second one is the detected edges image. It is important to mention that all existing metrics must binarize images before their eva...

Threshold-based methods are prevalent across numerous domains, with specific relevance to image binarization, which traditionally employs global and local threshold algorithms. This paper presents a novel approach where the capacity of neural networks is utilized not just for determining optimal thresholds, but also combining multiple thresholds sourced from existing binarization techniques. Th...

Segmentation of text from badly degraded document images are a very challenging task due to the high inters/intravariation between the document background and the foreground text of different document images. These features are the maximum moment of phase congruency covariance, a locally weighted mean phase angle, and a phase preserved denoised image. The proposed model consists of three standa...