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Data provided by synthetic aperture radar (SAR) of Sentinel satellite can be useful for many applications. However, as for any SAR image, speckle noise is present in acquired images. Speckle properties are important for different operations of SAR image processing as filtering, edge detection, segmentation, classification. Thus, we first carry out preliminary analysis of speckle statistics and show...
Bayesian network is a probability, which is based on a probabilistic inference network of graphical and Bayesian formula is the basis of the probability of network. The paper analyzes general Semantic pixel naming and the implementation process and concept of Bayesian per pixel segmentation (BPPS). On this basis, author presents a novel deep learning framework for clustering and information mining...
In this paper we consider an important practical aspect of texture region detection in remote sensing images. One specific feature of our study is that we assume a processed image noisy with a priori known type and parameters of the noise. Another specific feature is that we try to detect textural regions for a wide variety of textures without having a priori knowledge of their properties. The considered...
Lung cancer is one of the major considerations that the field of science and medicine has to overcome. Various medical imaging modalities like X-ray, CT, chest radiography, SPECT, NM, MRI, CT, US, PET and optical modalities like Endoscopy, Microscopy or Photography exists to identify the presence of disease. Automated Computer Aided Diagnosing (CAD) system is more useful tool for advanced decision...
Nonlinear PDEs (partial differential equations) offer a convenient formal framework for image regularization and are at the origin of several efficient algorithms. In this paper, we present a new approach which is based (i) on a set of half Gaussian kernel filters, and (ii) a nonlinear anisotropic PDE diffusion. On one hand, half Gaussian kernels provide oriented filters whose flexibility enables...
A common problem in network analysis is detecting small subgraphs of interest within a large background graph. This includes multi-source fusion scenarios where data from several modalities must be integrated to form the network. This paper presents an application of novel techniques leveraging the signal processing for graphs algorithmic framework, to well-studied collaboration networks in the field...
Image quality enhancement is a crucial requirement in many applications of digital image and video processing. Removing artifacts which are suffered from image compression will lose simultaneously image texture components. This paper combines Beltrami method and the window derivative to construct the texture map in an attempt to preserve image details during filtering artifacts. Texture map enhancement...
Stationary human micro-motion trajectory in slow time range domain provides more original motion information, including periodical respiration and heart beating, as well as random body movement and sudden body shaking, whose range often outstrips the periodical movement. Phase contour, amplitude contour and peak locus are all the represent of stationary human micro-motion trajectory. Due to the phase...
Recent image steganographic approaches considers perceptual characteristics of the human visual system (HVS), and often use edge detection to express them. In practice, there exist perceptually salient regions for HVS in an image according to visual attention. Moreover, HVS has different sensitivities to luminance contrast and structure of the image, i.e. Pattern masking. To enhance the security of...
As a complicated and troublesome research area, the edge detection is a fundamental step in terms of some image processing tasks including segmentation, compression and registration. In this study, we present a new approach for edge linking by applying the concept of the PCA on different types of images to determine the attractive edge segments. To determine the direction by using the angle information,...
In order to achieve vial bottle mouth defect detection, this paper proposes a vial bottle mouth defect detection scheme based on machine vision. The scheme is mainly using machine vision software HALCON to study. Firstly, the noise in the bottle mouth image is removed by filtering. Secondly, separating target and background by threshold segmentation. Then, extracting the edges through the edge detection,...
Contrast enhancement is one of the most studied problems in image processing. A plethora of approaches has been proposed in the literature for image enhancement since the pioneer work of Kovasznay and Joseph in 1955 [1] and the famous contribution of Gabor in 1965 on image deblurring [2]. However, very few works have been dedicated to contrast enhancement evaluation. This is mainly due to the fact...
Classical edge detection algorithm cannot completely remove blur edge and lost sharp edge when it is used to process the defects of the timber. In order to resolve this problem, we propose a defect detection algorithm based on multi-threshold and gradient optimization. Firstly, through k-means algorithm (k=4), the mean threshold of module is required. Secondly, the image is segmented by 4×4 module,...
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will...
A novel, efficient image processing method is proposed here for extraction of pavement cracks from fuzzy and discontinuous pavement images. Pavement surface images obtained by CCD array, where pavement cracks are often blurry and discontinuous due to particle materials of pavement surface, crack degradation and unreliable crack shadows. Firstly, A series of preprocessing including using histogram...
To print ceaseless tone images, Electrophotographic printers mostly use halftoning method. Scanned pictures procured from such hard transcripts are generally wrecked by screen like antiquities. Recently an approach for reviving relentless image from scanned halftone picture was accomplished. This new model considers both printing deformities and halftone motifs. At first denoising computation is proposed...
Multiple sequence magnetic resonance imaging (MRI) is often hampered by noise and misalignment. The wavelet de-noising lacks directivity and does not preserve image details, which limits its effectiveness. To solve the problem, an adaptive threshold de-noising method based on wavelet transformation is employed. As to misalignment, a registration method basis of shape context descriptor is proposed...
In this paper we deal with (step and crease) edge preserving smoothing and normal estimation in low depth-resolution range images. As a result of short base distance stereo, compression or scene geometry, such range images consist of few discrete range values. We propose a method for smoothing such range images by interpolation while preserving boundary and crease edges, and estimating surface normals...
Text detection in complex real images, such as panorama images, remains great challenging in Computer Vision. A general method often focuses on the small test images with single background which makes it easier to do the detection and recognition. In this paper, we find a novel approach, as it can automatically deal with the indoor panorama images which contains distortion and illumination problems...
Scale-space corner detection (SSCD) has been drawing much attention in the past. Multi-scale corner detection (MSCD), which recognizes corners only at several scales, can be treated as a fast implementation of SSCD. In this paper, a new MSCD algorithm is proposed, which is based on an arithmetic mean (AM) of the k-cosine curvature values respectively computed at three scales. Compared to the existing...
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