Unsupervised patterned fabric defect detection using texture filtering and K-means clustering
This paper introduces an unsupervised fabric defect detection algorithm that does not need
any user-adaptation and reveals high detection accuracy rates at the same time. This …
any user-adaptation and reveals high detection accuracy rates at the same time. This …
Computer aided diagnosis system for skin lesions detection using texture analysis methods
H Mahmoud, M Abdel-Nasser… - … Conference on Innovative …, 2018 - ieeexplore.ieee.org
Malignant melanoma is considered as one of the most dangerous type of skin cancers as it
increases the mortality rate. Computer-aided diagnosis (CAD) systems can help to detect …
increases the mortality rate. Computer-aided diagnosis (CAD) systems can help to detect …
Multivariate median filters and partial differential equations
M Welk - Journal of Mathematical Imaging and Vision, 2016 - Springer
Multivariate median filters have been proposed as generalizations of the well-established
median filter for gray-value images to multichannel images. As multivariate median, most of …
median filter for gray-value images to multichannel images. As multivariate median, most of …
Quantile filtering of colour images via symmetric matrices
Quantile filters, or rank-order filters, are local image filters which assign quantiles of
intensities of the input image within neighbourhoods as output image values. Combining a …
intensities of the input image within neighbourhoods as output image values. Combining a …
Non-adaptive and amoeba quantile filters for colour images
Quantile filters, or rank-order filters, are local image filters which assign quantiles of
intensities of the input image within neighbourhoods as output image values. Combining a …
intensities of the input image within neighbourhoods as output image values. Combining a …
An auxiliary container loading location algorithm based on computer vision
M Dai, Q Liu, J Wang - 2019 34rd youth academic annual …, 2019 - ieeexplore.ieee.org
Port container handling is an important part of terminal operations. When loading multiple
containers, operators can only rely on human eyes and PLC information to obtain the …
containers, operators can only rely on human eyes and PLC information to obtain the …
Multivariate medians for image and shape analysis
M Welk - arxiv preprint arxiv:1911.00143, 2019 - arxiv.org
Having been studied since long by statisticians, multivariate median concepts found their
way into the image processing literature in the course of the last decades, being used to …
way into the image processing literature in the course of the last decades, being used to …
Towards processing fields of general real-valued square matrices
B Burgeth, A Kleefeld - Modeling, Analysis, and Visualization of Anisotropy, 2017 - Springer
In this paper, a general framework is presented that allows for the fundamental
morphological operations such as dilation and erosion for real-valued square matrix fields …
morphological operations such as dilation and erosion for real-valued square matrix fields …
Matrix-valued levelings for colour images
Morphological levelings represent a useful tool for the decomposition of an image into
cartoon and texture components. Moreover, they can be used to construct a morphological …
cartoon and texture components. Moreover, they can be used to construct a morphological …
Partial differential equations of bivariate median filters
M Welk - International Conference on Scale Space and …, 2015 - Springer
Multivariate median filters have been proposed as generalisations of the well-established
median filter for grey-value images to multi-channel images. As multivariate median, most of …
median filter for grey-value images to multi-channel images. As multivariate median, most of …