Motion estimation algorithm for periodic pattern objects based on spectral image analysis

Kim, Seung-Gu; Ahn, Tae-Gyoung; Park, Sehyeok

doi:10.1109/icce.2013.6486905

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…The operation of replacing the filter will cause the position of the multispectral camera to shift which resulting in geometric distortion and offset between the multichannel images. This situation will affect the subsequent spectral image pixel analysis and spectral reconstruction [2]. Therefore, it is necessary to perform registration pre-processing correction on multichannel spectral images.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: A method for spectral image registration based on feature maximum submatrix

Wang

et al. 2018

J Image Video Proc.

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In order to solve the geometric offset caused by replacing the filter during imaging of multichannel spectral image data, a multichannel spectral image registration method based on SURF feature merged with maximum submatrix is proposed. Firstly, the feature of multichannel spectral image is extracted by SURF. Then, a perspective transformation is performed to obtain a preliminary registration image. For the problem of invalid areas with zero pixel values appearing at the boundary of the image after registration, the largest submatrix is used to detect the maximum inscribed rectangle of the image to remove the invalid boundary region, and maximize the reserved effective region information. Experimented was processed with multichannel imaging data of murals. Experimental results agree with the theoretic analysis and verified that the proposed registration method is better adapted to image scale and brightness changing. At the same time, it can avoid the influence of invalid regions generated by other registration methods on subsequent spectral reconstruction and color restoration which has better performance.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: A method for spectral image registration based on feature maximum submatrix

Wang

et al. 2018

J Image Video Proc.

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A semi-global motion estimation of a repetition pattern region for frame interpolation

Thắng

Lee

2017

2017 IEEE International Conference on Image Processing (ICIP)

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Motion estimation algorithm for periodic pattern objects based on spectral image analysis

Cited by 2 publications

References 3 publications

RETRACTED ARTICLE: A method for spectral image registration based on feature maximum submatrix

RETRACTED ARTICLE: A method for spectral image registration based on feature maximum submatrix

A semi-global motion estimation of a repetition pattern region for frame interpolation

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