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Side scan sonar (SSS) is a vital sensor for autonomous underwater vehicles (AUVs) to do ocean survey. Many methods have been proposed to carry out SSS image segmentation, among which machine learning algorithms provide outstanding performance. Machine learning algorithms like support vector machine (SVM) and convolutional neural networks (CNN) are the most used. When SVM is used to do pixel-level...
Although light field data provides abundant cues for depth estimation, light field depth estimation suffers from occlusion and uncertain edges. In this paper, we propose occlusion robust light field depth estimation using segmentation guided bilateral filtering. First, we calculate refocused images from light field data using digital refocusing. Second, we perform support vector machines (SVM) classification...
The domain of minimally invasive surgery has recently attracted attention from the Multimedia community due to the fact that systematic video documentation is on the rise in this medical field. The vastly growing volumes of video archives demand for effective and efficient techniques to retrieve specific information from large video collections with visually very homogeneous content. One specific...
Thermal plasma spraying is an important manufacturing technique that creates a thermal barrier coating to protect the surface underneath from wear, erosion, oxidation and corrosion. In this paper, we develop a new microstructure classification and quantification (MCQ) module that could fully automatically classify and quantify two types of microstructures, globular and interlamellar, in the top coat...
Since news videos are valuable sources of multimedia information on real-world events, there is a demand for viewing them efficiently. However, there is a problem that summarization methods based on auditory contents do not take into account the visual contents. In the case of news videos, due to its presentation style where audio contents and visual contents do not necessarily come from the same...
Lung field segmentation is a prerequisite for the development of automated computer aided diagnosis of interstitial lung diseases from chest high resolution computed tomography (HRCT) images. The traditional threshold-based or region growing methods tends to fail when dense pathology is present in the lung field. In such cases, it is found that prior shape knowledge increases the efficiency and accuracy...
Saliency detection aims to find the useful and attractive regions from an image. In many situations, there may be multiple objects in the image, and these objects may have equal attractiveness. Moreover, the appearance of pixels in one object may demonstrate large difference, which could lead to lose the object integrality when detecting saliency. To this end, this paper proposes a multi-saliency...
Automated image stylization to create artistically pleasing images from ordinary photographs is an interesting and useful task in computer vision. Therefore, several automated styling methods have been developed using powerful Deep Neural Network (DNN) features. They typically use a carefully constructed joint loss function to separately consider the similarities between a proposed output and the...
Road pixel segmentation in airborne data is an important and challenging task. Recently, a sophisticated and robust approach based on superpixels and minimum cost paths has been published. In order to find out which of the numerous features are most essential, we propose a forward-search wrapper approach for feature selection which was tested with two different classifiers and with both generic and...
While recent advances in deep learning pushed the state-of-the-art in object detection and semantic segmentation, it often comes at the cost of a considerable annotation effort. Thus, weakly supervised learning became of increasing interest. In this paper a novel approach to the challenging task of weakly supervised segmentation and object localization will be presented. The problem is tackled from...
Region-based image retrieval has been proven to be effective in finding relevant images. In this paper, we propose a cuboid im-age segmentation method which results in rectangle image partitions. Rectangle partitions are more suitable for image compression, retrieval and other image operations. We apply partitions in image retrieval in this paper. Our experimental results have shown that (1) the proposed...
Segmentation is a fundamental problem in image processing. In biomedical applications, for example cell analysis, it is important to recognize cells with certain shape characteristics. Although recent advances in microscopy and in experimental methods have made the culturing and imaging of cells in 3D environments possible, there is a great need for advanced image processing methods capable of handling...
Left ventricle(LV) segmentation is a prerequisite step of evaluation of LV structure and function, which plays an important role in the diagnosis and treatment of cardiovascular diseases. In this paper, we propose a method to segment endocardium and epicardium of LV using convolution neural network combined with active contour model and tensor voting. A fully convolution neural network (FCN) named...
This paper presents a new method of segmenting and classifying protein crystallization trial images that were collected using trace fluorescent labeling. Trace fluorescent labeling typically involves fluorescence dye that can re-emit the illumination light at other wavelengths around the principal wavelength. The captured image has a primary color channel with respect to illumination light and fluorescence...
In this paper we have presented an automated diagnosis of breast cell cancer using histopathological images on the basis of different textural descriptors. In the proposed technique, the images being preprocessed using extended adaptive-top-bottom transform (EAHE-TBhat) and segmented the nuclei regions from the non-nuclei regions using region growing segmentation. The nuclei regions are then used...
Breast cancer is one of the major causes of death among women around the world. To diagnose this disease using mammography technique, segmentation is an important step to detect the suspicious region(s) of mammograms. Segmentation concerns to the process of division of mammograms into different sections. Objective of segmentation is to simply modify the presentation of an image so that it becomes...
This paper presents a system for classifying images based on Deep Learning and applied in the recognition of traffic signals aiming to increase road safety increased road safety using autonomous and semi-autonomous intelligent robotic vehicles. This Advanced Driver Assistance System (ADAS) is a system created to automate vehicles, but also to help the human drivers to increase safety and the respect...
In order to achieve unmanned monitoring in the smart substation, the video monitoring technology has been introduced. However, it is still lacking of real-time image processing in its actual use. In this paper, a system based on the image tracking technology for fault monitoring of insulators in the substation is developed. In this system, an unmanned aerial vehicle (UAV) moving in a special trace...
We present a technique for optic cup segmentation and outlining based on Kåsa's circle fit model. The outlining problem is posed as a task of fitting a circle to the sparse set of optic cup boundary points. For automatic localization of the optic disc, we use the matched filtering technique. We clear-off the non-optic disc area by drawing a circle with point of optic disc localization as the coordinates...
Periodontal diseases are the largest cause of tooth loss among people of all ages and are also correlated with systemic diseases such as endocarditis. Advanced periodontal disease comprises degradation of surrounding tooth structures, severe inflammation and gingival bleeding. Inflammation is an early indicator of periodontal disease. Early detection and preventive measures can help prevent serious...
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