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This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores that is freely available...
We present a novel shape from focus method for high-speed shape reconstruction in optical microscopy. While the traditional shape from focus approach heavily depends on the presence of surface texture, and requires a considerable amount of measurement time, our method is able to perform 3D reconstruction from only two images. Our method relies on the rapid projection of a binary pattern sequence,...
Recent developments in high resolution MRI scanning of the human spine are providing increasing opportunities for the development of accurate automated approaches for pathoanatomical assessment of intervertebral discs and vertebrae. We are developing a fully automated 3D segmentation approach for MRI scans of the human spine based on statistical shape analysis and template matching of grey level intensity...
In this paper we develop and compare several multi-resolution microscope slide scanning algorithms of increasing complexity. The algorithms utilise a low-resolution image of the whole sample to optimise the high-resolution scan in terms of decreasing the number of field-of-view (FOV) images required. This approach, while commonly applied in microscopy, has never been fully evaluated to quantify expected...
In this paper we propose a novel face hallucination algorithm to synthesize a high-resolution face image from several low-resolution input face images. As described in Liu et al. [8]'s work, face hallucination uses two models: a global parametric model which synthesizes global face shapes from eigenfaces, and a local parametric model which enhances the local high frequency details. We follow a similar...
Image mosaic is a large image assembled from many smaller tiles which one tile itself is an actual image. In this research, we introduce an efficient method to make image mosaic. Our method is based on Log-polar mapping which enables us to detect the color and shape change. We also successfully make an image mosaic version by exploiting GPU power. Our algorithm is simple, easy to implement, gives...
This paper addresses the problem of recovering the unknown poses of a moving reference plane for specular shape recovery. Given the initial pose of the reference plane with respect to the camera, a closed form solution is derived to recover its subsequent poses directly from its reflections on the specular surface observed in the image sequence. With the estimated poses of the reference plane, the...
High-resolution remote sensing images can capture detailed geometrical and shape properties. Traditional classification accuracy assessments with overall accuracy or kappa coefficient based on pixels, cannot exhibit the geometrical properties of the objects that are present on the ground. Evaluation of object oriented classified maps based on geometrical and border information can provide more accurate...
One of the most promising avenues for compiling anatomical brain connectivity data arises from diffusion magnetic resonance imaging (dMRI). dMRI provides a rather novel family of medical imaging techniques with broad application in clinical as well as basic neu-roscience as it offers an estimate of the brain's fiber structure completely non-invasively and in vivo. A convenient way to reconstruct neuronal...
Multi-segmentation includes three categories: weights of bands, segmentation scale (f) and shape parameters, in which f is the most important parameter. Lots of methods have been done on how to find the optimal segmentation and have been applied to different situations. But most of them didn't consider the impact of shape parameters on the optimal scale. This paper experimentally proves that the shape...
In face hallucination problem it is critical to synthesize the correct facial details. General tendency is using textural priors either in parametric or non-parametric fashion. Though a certain amount of details could be obtained, limitations in texture priors force the utilization of shape information in addition to texture. As in Resolution Aware Fitting (RAF) algorithm, better results can be obtained...
An automatic system for stamp segmentation and further verification is needed especially for environments like insurance companies where a huge volume of documents is processed daily. However, detection of a general stamp is not a trivial task as it can have different shapes and colors and, moreover, it can be imprinted with a variable quality and rotation. Previous methods were restricted to detection...
In this paper we present a novel method for the automatic location and segmentation of the optical disk in fundus images. It is based on the decoupling of vessel and background information obtained with morphological segmentation and inpainting. A multiresolution optimization scheme finding elliptic contours optimally adapted to a brightness model is then applied on the inpainted brightness image,...
This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge, we extract the river regions which the bridges are included in. Firstly, we segment the optical image to get the coarse water bodies using iterative threshold, eliminate the noise regions and add the missing regions based on k-means clustering...
Image segmentation is an important component in object based forest management with increasing high resolution remote sensing data such as ADS40 images. However, evaluation of segmentation algorithms has been largely subjective. To be able to evaluate image segmentation methods quantitatively and objectively, we applied a new error measurement which quantifies the performance of an image segmentation...
Stomata density is an important parameter that is used to analyze the environmental stress to plants, especially water stress [1–3]. The objective of this paper is to estimate leaves stomata density of Populus euphratica using remote sensing image processing technology, i.e., object-oriented classification, and to analyze ecological significance about stomata density change. The 18 samples were selected...
In this paper, an investigation is made on how sidelobes can be suppressed in ultrawideband-ultrawidebeam (UWB) Synthetic Aperture Radar (SAR) using apodization. Due to the special properties of UWB SAR such as very wide integration angle and very large relative bandwidth, the support for the spectrum of a SAR image differs distinctively from a rectangle, which is the normal approximation in narrowband-narrowbeam...
With the development of multimedia technology and the coming of information era, people have been frequently exposed to a lot of image information, so how to effectively organize, manage and retrieve large image database has been an urgent demand. The related problems of synthetic features in image retrieval were investigated from the importance and concept of Content-based image retrieval. Finally,...
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