Within the last two decades a small group of researchers has built a useful, nontrivial theory of nonlinear signal processing around the median-related filters known as rank-order filters, order-statistic filters, weighted median filters, and stack filters. This required significant effort to overcome the bias, both in education and research, toward linear theory, which has been dominant since ...

This research is for the possibility of automating assessment hand radiographic joint damage in rheumatoid arthritis. The objective this to design a segmentation algorithm obtain area which space object. study has collected 46 images hands. Image preprocessing performed using adaptive thresholds and concept morphological gradient, then branches filtering approach. Analysis based on accuracy, se...

This paper proposes a novel method of segment-tree filtering to improve the classification accuracy of hyperspectral image (HSI). Segment-tree filtering is a versatile method that incorporates spatial information and has been widely applied in image preprocessing. However, to use this powerful framework in hyperspectral image classification, we must reduce the original feature dimensionality to...

Morphological filters are useful tools as they are commonly employed in surface metrology and dimensional metrology, serving for surface texture analysis and data smoothing respectively. Compared to the mean-line filtering techniques, such as the Gaussian filter, morphological filters have the merits of compact support, no need to remove form, and being relevant to geometrical properties of sur...

Morphological filtering is a useful technique for processing and analysis of binary and grayscale images. The extension of morphological techniques to color images is not a straightforward task, because this extension stems in the multivariate ordering problem. Since the multivariate ordering is ambiguous, the existing approaches have used the known vector ordering schemes for the color orderin...

Vessel segmentation plays an important role in medical image analysis. Irrespective of the modality used, the common challenge in all vessel tracking methods is scale variability, in other words, the dependence on the size of the vessels, which is unknown a priori. Despite few approaches that attempts to perform scale selection and segmentation simultaneously, the common approach is to perform ...

An automated classification of coronary artery disease using discrete wavelet watershed transform and back propagation neural network has been proposed which basically segments the blood vessels of the coronary angiogram image as a first step, which in turn involves various stages such as preprocessing, image enhancement, and segmentation using discrete wavelet transform and watershed transform...

Extraction and analysis of building façades are key processes in the three-dimensional (3D) building reconstruction and realistic geometrical modeling of the urban environment, which includes many applications, such as smart city management, autonomous navigation through the urban environment, fly-through rendering, 3D street view, virtual tourism, urban mission planning, etc. This paper propos...