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Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Related Experiment Video

Updated: Aug 23, 2025

Quantifying Intermembrane Distances with Serial Image Dilations

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

A Novel Adaptive Deskewing Algorithm for Document Images.

Wuzhida Bao¹, Cihui Yang¹, Shiping Wen²

¹School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.

Sensors (Basel, Switzerland)

|October 27, 2022

Summary

This summary is machine-generated.

This study introduces an adaptive deskewing algorithm to correct skewed document images, improving Optical Character Recognition (OCR) accuracy. The novel method enhances document image analysis by accurately detecting and correcting skew based on image type.

Keywords:

adaptive strategy deskewing document image image classification skew estimation

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Area of Science:

Computer Vision
Image Processing
Document Analysis

Background:

Document skew significantly hinders Optical Character Recognition (OCR) efficiency.
Accurate document image analysis requires effective skew correction.

Purpose of the Study:

To propose a novel adaptive deskewing algorithm for document images.
To improve the accuracy and efficiency of document image processing.

Main Methods:

Skeleton Line Detection (SKLD)
Piecewise Projection Profile (PPP)
Morphological Clustering (MC)
Image classification based on layout features

Main Results:

Achieved 97.6% accuracy on the DISEC'2013 dataset.
Achieved 80.1% accuracy on the PubLayNet dataset.
Demonstrated superiority over existing algorithms through extensive experiments.

Conclusions:

The proposed adaptive deskewing algorithm is highly accurate and effective.
The method's performance is validated on benchmark datasets.
This approach offers a significant advancement in document image processing.