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Structural variations are a complex collection of mutations, many of which are reported to associated to complex traits. Recent research reports a rare case of structural variants, complex indels, which may contribute to carcinogenesis. A complex indel often presents multiple inserted nucleotides in a deleted region. Due to the limitations on both data and algorithm, existing approaches could only...
In this paper, we proposed a convolutional neural network (CNN) features-based framework for road network extraction in high-resolution synthetic aperture radar (SAR) images. First, in consideration of rich structure information of road areas in high-resolution SAR images, a CNN model is proposed to extract road-area features and detect road candidates. The CNN model helps to improve the accuracy...
This paper focuses on the problem of built-up areas detection in single high-resolution SAR images. In consideration of the rich structure information of built-up areas in high-resolution SAR images, we put forward a multiscale CNN model to extract multiscale trained features directly from image patches to detect built-up areas. By processing features extraction and classification as a whole, we overcome...
Since gastroscopy is able to observe the interior of gastrointestinal tract directly, it has been widely used for gastrointestinal examination. But it is hard for clinicians to accurately detect gastrointestinal disease due to its great dependence on doctors experiences. Therefore, a computer-aided lesion detection system can offer great help for clinicians. In this paper, we propose a new scheme...
To make the tampered image more deceivable, rotation and scaling of the duplicated image region, as simple and common image forgery techniques, are often employed. In this paper, a novel approach of copy-move location is presented for copy-move forgery which combines with the keypoint-based method and the block-based method. For a tampered image, we use the split-half recursion matching strategy to...
Most of the time, some traces of digital tampering may be left in image manipulation, resulting in the inconsistency of natural images and providing some clues for image forgeries. This paper proposed a novel probability model based on the first digit statistics of DCT coefficients, to express the changes of statistical properties after manipulation. And we combined Bayes' theorem to detect and locate...
In this paper, we find that the structure variance of images could be divided into four classifications, slight deformations, additive impairments, detail losses, and confusing contents, and what's more, for each classification, subjective evaluation is different. According this, we propose a novel image quality assessment (IQA) method based on structure variance classification. The proposed method...
Although photorealistic computer graphics (PRCG) attempt to deceive our eyes, we can distinguish them from photographic images (PIM, i.e. natural images) depending on approaches of constructing discriminating features and using machine learning and data mining technique to obtain statistical regularity as the prior work in [3,4]. This paper is aiming to find the different contribution of different...
An algorithm for SAR images based on knowledge of bridge over water is proposed. According to the positional relationship between bridge and river, it is pivotal for recognition to extract river correctly. First, pretreatment for SAR images is necessary, including noise reduction and image enhancement. Second, region-based threshold segmentation, region growing and mathematical morphology are used...
In this paper, we present a method using phase features for content based image retrieval (CBIR). Two related key issues of CBIR are feature extraction and similarity measure. However, most traditional methods treat them respectively and prevent further performance improvement. The method proposed here is based on the multi-scale local phase feature (MLPF) and local weighted phase correlation which...
We propose a novel system for analyzing pedestrians' walking patterns by exploiting single-row laser range scanners that measure distances of surrounding objects by reflecting eye-safe laser beams. A walking model is built in the spatial-temporal domain to describe the periodicity of the movement of the feet, and a mean-shift technique is applied to recover model parameters. Compared with camera-based...
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