In this paper a novel method that automatically detects the lumenintima border on an intravascular ultrasound sequence (IVUS) is presented. First, a 3D co-occurrence matrix was used to efficiently extract the texture information of the IVUS images through the temporal sequence. By extracting several co-occurrence matrices a complete characterization feature space was determined. Secondly, using...

This article aims to propose a method to use the idea of Hough Transform (HT) implemented in grey scale images to color images for region extraction. A region in an image is seen as a union of pixels on several line segments having the homogeneity property. A line segment in an image is seen as a collection of pixels having the property of straight line in Euclidean plane and possessing the sam...

Hyperspectral remote sensing image (HSI) include rich spectral information that can be very beneficial for change detection (CD) technology. Due to the existence of many mixed pixels, pixel-wise approaches lead considerable errors in resulting CD map. The unmixing (SU) method is a potential solution this problem, as it decomposes pixels into set fractions land cover. Subsequently, map created b...

Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...

Image segmentation is a fundamental step in many of image processing applications. In most cases the image’s pixels are clustered only based on the pixels’ intensity or color information and neither spatial nor neighborhood information of pixels is used in the clustering process. Considering the importance of including spatial information of pixels which improves the quality of image segmentati...

It is a common practice that a matrix, the de facto image representation, is first converted into a vector before fed into subspace analysis or kernel method; however, the conversion ruins the spatial structure of the pixels that defines the image. In this paper, we propose two kernel subspace methods that are directly based on the matrix representation, namely matrix-based kernel principal com...

Hyperspectral Unmixing (HU) has received increasing attention in the past decades due to its ability of unveiling information latent in hyperspectral data. Unfortunately, most existing methods fail to take advantage of the spatial information in data. To overcome this limitation, we propose a Structured Sparse regularized Nonnegative Matrix Factorization (SS-NMF) method from the following two a...

Pathological remodeling characterized by extracellular matrix (ECM) deposition contributes to the diabetic vascular complications. Matrix metalloproteinases (MMPs) regulate ECM turnover. However, the expression profile of the MMP system in diabetic human tissue remains unknown. The objectives of this study were 1) to identify a local MMP induction/activation system that exists in arterial vascu...