A new method for eliminating blur caused by the rotational motion of the images

Sanipour, Seyed Mohammad Ali; Ahadi-Akhlaghi, Iman

doi:10.7287/peerj.preprints.872v3

2015

DOI: 10.7287/peerj.preprints.872v3

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A new method for eliminating blur caused by the rotational motion of the images

Seyed Mohammad Ali Sanipour

Iman Ahadi-Akhlaghi

Abstract: The aim of this investigation is to evaluate a new method for blur elimination caused by rotational motion of any object, assuming that the center and the angle of the rotation are known. In this new method, which is called Enhanced Rotational De-convolution Conjugate Gradient (ERD-CG), first we enhanced the RD method for the blurred images, and then we combined the ERD method with the CG method (which is the reconstruction of iterative method). The experimental results are promising and show that the proposed… Show more

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2018

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Motion artifact detection in colonoscopy images

Kacmaz

Yılmaz

Dundar

et al. 2018

The EuroBiotech Journal

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Computer-aided detection is an integral part of medical image evaluation process because examination of each image takes a long time and generally experts’ do not have enough time for the elimination of images with motion artifact (blurred images). Computer-aided detection is required for both increasing accuracy rate and saving experts’ time. Large intestine does not have straight structure thus camera of the colonoscopy should be moved continuously to examine inside of the large intestine and this movement causes motion artifact on colonoscopy images. In this study, images were selected from open-source colonoscopy videos and obtained at Kayseri Training and Research Hospital. Totally 100 images were analyzed half of which were clear. Firstly, a modified version of histogram equalization was applied in the pre-processing step to all images in our dataset, and then, used Laplacian, wavelet transform (WT), and discrete cosine transform-based (DCT) approaches to extract features for the discrimination of images with no artifact (clear) and images with motion artifact. The Laplacian-based feature extraction method was used for the first time in the literature on colonoscopy images. The comparison between Laplacian-based features and previously used methods such as WT and DCT has been performed. In the classification phase of our study, support vector machines (SVM), linear discriminant analysis (LDA), and k nearest neighbors (k-NN) were used as the classifiers. The results showed that Laplacian-based features were more successful in the detection of images with motion artifact when compared to popular methods used in the literature. As a result, a combination of features extracted using already existing approaches (WT and DCT) and the Laplacian-based methods reached 85% accuracy levels with SVM classification approach

show abstract

Motion artifact detection in colonoscopy images

Kacmaz

Yılmaz

Dundar

et al. 2018

The EuroBiotech Journal

View full text Add to dashboard Cite

show abstract

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A new method for eliminating blur caused by the rotational motion of the images

Cited by 1 publication

References 7 publications

Motion artifact detection in colonoscopy images

Motion artifact detection in colonoscopy images

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