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Face analysis is a challenging topic, especially when addressing low-resolution data. While face detection is working satisfactorily on such data, further facial analysis often struggles. We specifically address the issues of face registration, face normalization and facial feature extraction to perform low-resolution face recognition. For face registration, an approach for landmark detection, pose...
There is no suitable golden standard for the detection of atypical pigment network and irregular streaks applied to skin lesion images. This information however is important in assessment of melanoma in skin dermatoscopic images. Thus there is a need for development of image analysis techniques that satisfy at least subjective criteria defined by dermatologists. In this paper we present the application...
Understand the tomography system as a temporal microscopy by space-time duality, a simple adjustment was performed on a conventional swept-source optical coherence tomography (SS-OCT), and achieved sharper resolution (∼4 μm) for the single layer measurement.
The aim of this paper is to introduce an adaptive preprocessing procedure based on human perception in order to increase the performance of some standard image processing techniques. Specifically, image frequency content has been weighted by the corresponding value of the contrast sensitivity function, in agreement with the sensitiveness of human eye to the different image frequencies and contrasts...
The initialization is considerably important for automatic segmentation of transrectal ultrasound (TRUS) images. This paper presents a novel initialization method based on narrow band boundary feature which can be used to roughly locate the boundary of interest in prostate TRUS images. The proposed method is able to automatically locating the edge in very few time and experimental results showed that...
The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate...
This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT key points are mainly located on high-contrast regions of an image. By using saliency considering SIFT as our backtracking basis, a resized image can preserve...
Ka-band compact pyramidal horn antenna (PHA) array is an important research topics to improve the image quality of millimeter wave active imaging system. In this paper, PHA array with WR28 metal waveguide direct feeding is specially designed based on theory analysis and computer simulation. It includes the design of PHA unit, feed-in source, PHA array and so on. Finally, the parameters are measured...
Face Hallucination (FH) differs from generic single-image super-resolution (SR) algorithms in its specific domain of application. By exploiting the common structures of human faces, magnification of lower resolution images can be achieved. Despite the growing interest in recent years, considerably less attention is paid to a crucial step in FH -- registration of facial images. In this work, registration...
Building damage information is an important basis of earthquake disaster loss assessment, it is also one of judgement index of earthquake intensity. In the process of using remote sensing image for earthquake disaster information acquisition and earthquake emergency rescue, building damage information extraction technique is the key to get accurate disaster information. In this paper, based on the...
The subpixel rendering is attractive in that it improves effective resolutions of displays by processing at the subpixel level. But it lies on a risk of chrominance error called color fringing effect while restoring the degraded shape of restrictive resolution. We propose a filter design method for subpixel rendering. We first generate a virtual image model, which describes how human visual system...
Segmentation is the primary step to vision systems. It allows the generation of a compact description of image (edges, regions), but is often one of the most critical processing for subsequent treatments and especially for the matching process. This paper deals with extracting regions (segmentation) which can be used as primitives to facilitate the matching process in stereovision. In the literature,...
The detection of small objects from aerial images is a difficult signal processing task. To localise small objects in an image, low-complexity geometry-based approaches can be used, but their efficiency is often low. Another option is to use appearance-based approaches that give better results but require a costly learning step. In this paper, we treat the specific case of manhole covers. Currently...
Object based image analysis is suitable for medium and high resolution remote sensing images. The crucial step in object based classification is image segmentation. Problem of over-and-under segmentation occurs due to improper selection of segmentation parameters. Classification is applied over the segmented image, thus selection of properly segmented image for an application is the basic prerequisite...
The structured light techniques consisting of a light pattern with a regular structure in have been used widely for depth sensing. Traditional structured light pattern using the pattern with the fixed density and intensity is difficult to obtain the accuracy depth data. In this paper, We propose a depth sensing method of complex scenes by using a multimodal pattern consisting of structure lights with...
In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate, this paper proposes a recognition method based on multi-feature and multi-decision. Firstly, we preprocess the fruit image which is to be classified, separateing foreground and background, and then we divide the target area. Secondly, in order to take full...
We outline a possible method for exploiting population-based data for regularization in iterative PET reconstruction. Multi-modal and high-resolution mean shape templates are derived from a set of co-registered PET-MR images. The functional component of the template, representing the average radiotracer distribution among the images in the set, is used in a Bayesian reconstruction scheme for regularization...
This work presents the design of scintillation detectors for clinical PET using off-the-shelf components that achieve both excellent time resolution and DoI information. The detector consists of a dual layer stack of 3×3×20 mm3 crystals, 1∶1 coupled to SiPM arrays. Each pixel contains an LYSO:Ce and LSO:Ce,Ca(0.4%) crystal directly bonded to one another with an optical epoxy, and layer identification...
Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator...
In this paper the authors consider the software implementation of three-dimensional visualization of the underwater environment using height maps via Windows Presentation Foundation. In addition, the problems of constructing a realistic 3D model of the surface topography have been described. In order to construct 3D model of the surface topography the authors have proposed the use of height maps and...
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