An improved scene text and document image binarization scheme

Ghoshal, Ranjit; Banerjee, Ayan

doi:10.1109/rait.2018.8389021

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…The global thresholding [17] which does not adapt to surface local variations but applies a single threshold to the entire image is not useful as desired information due to local changes in the image is lost. In addition, it can perform badly where an image was captured under non-uniform lighting.…”

Section: Thresholdingmentioning

confidence: 99%

An Efficient Quality Control System by Machine Learning for Surface Defects

Alam¹,

Mohanan²

2021

IJASIS

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Quality control plays a crucial role to meet the high and accurate quality of production in many manufacturing industries. The high quality products may become unreliable due to surface defects. Generally, quality control is more important in automotive industry such as in the field of carbody parts manufacturing. The exterior appearance of the car body should be smooth surfaces and edges with flawless nature. In order to build such flawless body parts, surface defect detection system is taken into account. In this paper, an Automated Defect Detection (ADD) system is presented. The design of the ADD system consists of two steps. The first step is considered as a classification system where the given image is classified into defected or nondefected using Gabor expansion with Principal Component Analysis (PCA). The next step is segmentation where the region of defect is identified using local thresholding. The evaluation is performed on raw alloy steel surface and machined surfaces of steel and cast iron. Results prove that the ADD system classify the input image into defect/no defect with 100% accuracy by a simple nearest neighbor classifier and with 94.5% detection accuracy for the segmentation system.

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Section: Thresholdingmentioning

confidence: 99%

An Efficient Quality Control System by Machine Learning for Surface Defects

Alam¹,

Mohanan²

2021

IJASIS

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“…If the variance V is less than the variance value then it increases the window size. Median filter is considered to apply on each pixel in the image Scene text binarization and document images is proposed by Ranjit Ghoshal and Ayan Banerjee [11]. They have performed in three stages; firstly computing the variance of the matrix, secondly linking the broken edges(Boundary) by Canny edge detection and applying adaptive thresholding method for binarization.…”

Section: Bvdhandra Satishkumar Mallappa Gururaj Mukarambimentioning

confidence: 99%

“…From top literature it is observed that the binarization is completed dependent on the picture region [7], block[13], and window [6], [8], [10], [11]. The proposed split and merge technique divides the sample input images into sub-images and re-joins the sub-images and it gives better performance for document analysis…”

Section: Bvdhandra Satishkumar Mallappa Gururaj Mukarambimentioning

confidence: 99%

Hybrid Method for Elimination of Uneven Illumination from Camera-based Document Images

2020

IJITEE

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 Abstract: In this paper, is addressed the issues of uneven lighting and complex background of the camera-based document image using hybridization of new split and merge method. The input image is divided into four uniform size sub-images, and CLAHE enhancement technique was applied to all four sub-images to rectify noise amplification in each part of input image and then adaptive document binarization operation was used on four sub-images. Then, all four sub section images are merged to get the binarized image with elimination of noises, uneven illumination. Encouraging results are obtained by this method as compared on to other existing methods of Sauvola, Feng and Kasar found in the literature. The comparative analysis is made on collected datasets, as the standard datasets are not available.

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A Research on Constructing the Recognition System for the Dynamic Pedestrian Traffic Signals Through Machine Vision

Hsug

2019

Advances in Networked-Based Information Systems

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An improved scene text and document image binarization scheme

Cited by 7 publications

References 7 publications

An Efficient Quality Control System by Machine Learning for Surface Defects

An Efficient Quality Control System by Machine Learning for Surface Defects

Hybrid Method for Elimination of Uneven Illumination from Camera-based Document Images

A Research on Constructing the Recognition System for the Dynamic Pedestrian Traffic Signals Through Machine Vision

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