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Forensic video analysis is the offline analysis of video aimed at understanding what happened in a scene in the past. Two of its key tasks are the recognition of specific actions, e.g., walking or fighting, and the search for specific persons, also referred to as re-identification. Although these tasks have traditionally been performed manually in forensic investigations, the current growing number...
This paper examines an extraction method of widespread flooded areas in the Chao Phraya River basin of the central Thailand during the 2011 monsoon season. RADARSAT-2 imagery data were mainly used to extract affected areas while ThaiChote imagery data were aslo used as optical supporting data by the Thai government. In this study, the same data were used by a somewhat different method in more detail...
We present a novel method of enhancing shallow ocean optical images or videos using weighted guided median filter and wavelength properties. Absorption, scattering and color distortion are three major distortion issues for underwater optical imaging. Light rays traveling through water are scattered and absorbed depending on the wavelength. Scattering is caused by large suspended particles, as in turbid...
This paper presents a new method to compute the dense correspondences between two images by using the sparse feature-based patches in an energy optimization framework. Many transformation and deformation cues such as color, scale and rotation should be considered when we finding dense correspondences between images. However, most existing methods only consider part of these transformations, which...
This paper proposes a new fingertip touch detecting method with high accuracy for the human-computer interaction based on one projector and a single camera. A finger model composed of a quarter-sphere and half a cylinder is introduced, and the relationship between the finger contour and its shadow based on this model is given out. The way to estimate the distance between finger and the projected surface...
Exudates and drusens detection and measurement from the retina background makes a significant impact on the diagnosis of retinal pathologies. These diseases usually appear as cotton wall spots, yellowish exudates and drusens (macula degeneration). Information about illness severity can be inferred by the measurement of the sizes of the exudates and drusens and comparing them to the retina background...
Diabetic retinopathy causes vision loss and blindness, which is one of serious eye diseases. For diagnosis, ophthalmologist uses a patient's color retinal images obtained from digital fundus camera. Detection of an optical disc in the fundus images is important to not be confused with the symptoms of the disease similar to one another in terms of contrast, color and brightness. For this reason, on...
This paper proposes an image processing technique for the detection of glaucoma which mainly affects the optic disc by increasing the cup size. During early stages it was difficult to detect Glaucoma, which is in fact second leading cause of blindness. In this paper glaucoma is categorized through extraction of features from retinal fundus images. The features include (i) Cup to Disc Ratio (CDR),...
When light is transmitted in water from a subject to an observer, it is scattered and absorbed by the unstable environment such as suspended particles and turbid water. Due to these phenomena, underwater images usually have poor quality including low contrast, blurring, darkness, and color diminishing. In this paper, we propose a new underwater image restoration algorithm that consists of two major...
This study aims to establish a new method of objective evaluation for optical colonoscopy that can quantify the severity of colonic mucosa for ulcerative colitis (UC). UC is an intractable disease and has been the subject of survey research for long time. However, because there are enormous variations in the patterns of symptoms associated with UC, universal diagnostic standards have yet to be established...
Optic nerve head (ONH) segmentation problem has been of interest for automated glaucoma assessment. Although various segmentation methods have been proposed in the recent past, it is difficult to evaluate and compare the performance of individual methods due to a lack of a benchmark dataset. The problem of segmentation involves segmentation of optic disk and cup region within ONH region. Available...
We present an adaptive weight based superpixel segmentation method for the goal of creating mesh representation that respects the 3D scene structure. We propose a new fusion framework which employs both dense optical flow and color images to compute the probability of boundaries. The main contribution of this work is that we introduce a new color and optical flow pixel-wise weighting model that takes...
We propose an interactive video segmentation system built on the basis of occlusion and long term spatio-temporal structure cues. User supervision is incorporated in a superpixel graph clustering framework that differs crucially from prior art in that it modifies the graph according to the output of an occlusion boundary detector. Working with long temporal intervals (up to 100 frames) enables our...
There is an increase in the number of children patients suffering from Optic Nerve Hypoplasia (ONH) especially in the past few decades. In this paper, we introduce an eye-tracking based smart vision device that aids ONH patients. The device makes use of cameras connected to displays with a processing unit that acts to modify the displayed image optimize patient's vision. The proposed system encompasses...
We present a systematic investigation of the counter-intuitive phenomenon of Extraordinary Low Transmission through ultrathin nanostructured metals, and present results on novel plasmonic subtractive color filters, exhibiting both record-high transmission efficiency and spatial resolution.
Optic disc segmentation is a crucial step in automated glaucoma detection system through Cup-to-Disc ratio measurement. Recent approaches focus on deterministic algorithm of RGB or grey model only. In this paper, we proposed a statistically integrated approach by combining various colour models. The driving motivation is the ability of each colour model to work accurately in certain environments or...
Diabetic retinopathy, the most common diabetic eye disease, occurs when blood vessels in the retina change. Sometimes these vessels swell and leak fluid or even close off completely. In other cases, abnormal new blood vessels grow on the surface of the retina. Early detection can potentially reduce the risk of blindness. This paper presents an automated method for the detection of exudates in retinal...
Mobile devices are completely heterogonous in respect to hardware and software, thus adaptation of e-learning content is necessary for supporting the contents to get fit into as per the mobile device suitability. Knowing the various attributes and capability information of a mobile device is necessary for proper content adaptation. As there are hundreds of information which can be known about a mobile...
Diabetic retinopathy (DR) is one of the leading causes of blindness in the world among patients suffering from diabetes. It is an ocular disease and progressive by nature. It is characterized by many pathologies, namely microaneurysms, hard exudates, soft exudates, hemorrhages, etc, among them presence of exudates is the prominent sign of non-proliferative DR. Both hard and soft exudates play a vital...
We demonstrate the design, simulation and experimental realization of a single aperiodic slit-groove plasmonic device that exhibits angle-selectable RGB color response at optical frequencies, as well as a high quality factor and optical contrast.
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