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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...
Automatic detection of optic disc and fovea is a precursor to the computer-aided analysis of retinal pathologies. In this paper, we present a unified approach for optic disc and fovea detection based on normalized cross-correlation technique. The algorithm performance is optimized by introducing vector inner products and norms instead of conventional mean and variance computations. We report optic...
Transparency of optical see-through head-mounted displays (OST-HMDs) makes them suffer from background blending. Existing works have tackled this problem by color correction, but have not addressed how to estimate the background color accurately. In this paper, we apply colorimetric estimation to the subtraction compensation for background blending. Moreover, we propose an optimization framework that...
The visible light communications properties of a microLED-pumped inorganic perovskite quantum dot color converter are reported. Free-space data communications at 364 Mb/s, using solely the color-converted light as the data signal optical carrier, is demonstrated.
The article describes some questions of functioning of digital cameras with purpose to increase optical resolution of the photos. The presented work includes detailed analysis and comparison of options, possible for nowadays, of improvements of optical resolution. The first offered option — use of the software. In the second option use of other different filters instead of Bayer filter is considered...
Image aberrations can cause severe degradation in image quality for consumer-level cameras, especially under the current tendency to reduce the complexity of lens designs in order to shrink the overall size of modules. In simplified optical designs, chromatic aberration can be one of the most significant causes for degraded image quality, and it can be quite difficult to remove in post-processing,...
A temporal superpixel algorithm based on proximity-weighted patch matching (TS-PPM) is proposed in this work. We develop the proximity-weighted patch matching (PPM), which estimates the motion vector of a superpixel robustly, by considering the patch matching distances of neighboring superpixels as well as the target superpixel. In each frame, we initialize superpixels by transferring the superpixel...
This paper proposes a new background subtraction method by a moving camera for the object detection. Key points are firstly extracted and tracked. From the tracking results, spatial transformation relationships for the background scenes in consecutive frames are obtained while the current frame is warped to the previous image plane for the camera movement compensation. A codebook background model...
The article deals with the application of remote sensing of agricultural plantations for assessment of their nitrogen fertilizer provision. The basic technologies of remote sensing used today, their advantages and disadvantages are described. A new calibration method for images obtained from sensors placed on the platform of UAV in unstable illumination based on EXIFF data file, such as size Light...
Car park video surveillance systems present a huge volume of data that can be beneficial for video analytics and data analysis. We present a vehicle state tracking method for long term video surveillance with the goal of obtaining trajectories and vehicle states of various car park users. However, this is a challenging task in outdoor scenarios due to non-optimal camera viewing angle compounded by...
Quality plays significant role to stay competitive in the market, especially in industries that many new products enter and leave themarket. The basic requirement is to ensure that only products meet the quality standards can be released, and this is possible by implementing high-quality inspection to sort the products. However, manual sorting of bulk items is very difficult due to a large number...
A spectral image can be regarded as a three-dimensional cube where each pixel is a vector of intensities representing a spectral signature. Compressive spectral imaging (CSI) is a sensing and reconstruction framework, based on the fundamentals of the compressive sensing theory, which focuses on capturing spectral images efficiently, exploiting their highly correlated information by coding its spectral...
Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily depends on the quality of motion estimation. This paper presents a robust video frame interpolation method that combines these two steps into a single process. Specifically, our method considers pixel synthesis for the interpolated frame as local convolution over two input...
The paper presents a new methodology for the detection and accurate localization of the optic disc in retinal images. Different color channels are investigated and, as a result, LBP histogram on Hue channel is combined with the information of intensity level on Green channel. The proposed algorithm is applied on overlapped patches, having a corresponding dimension, extracted from the retinal images...
Action recognition has been an active research area in computer vision community during the recent years. However, it is still a challenging task due to the difficulties mainly resulted from the background clutter, illumination changes, large intra-class variation and noise. In this paper, we aim to develop an action recognition approach by navigating focus of attention (action region) with saliency...
We present a new way to combine the propagated flow in image pyramid and dense correspondences from descriptor matching for large displacement optical flow estimation. Because the matches and the flow propagated from the coarser level in image pyramid are possibly wrong, our method uses color-based weighted linear interpolation to reduce the wrong initial flow and alleviate over-smoothing, instead...
A video segmentation method based on strong target constrained video saliency (STCVS) is proposed in this paper. In order to detect the salient region fast and effectively, the proposed STCVS is extracted based on the extension of image saliency by enforcing the salient region constrained with the location, scale and color model of the target. Besides, according to the results of STCVS, the super-pixel...
Video segmentation has been widely applied in many fields, such as motion identification, target tracking, video retrieval and video editing. We have proposed an approach of video segmentation, which combines the color feature, shape feature and motion information of the target together. Firstly, we introduce tiny amount of interactions into the processing of key frame, obtain the accurate contour,...
Qualitative motion analysis with motion magnification techniques opened a new dimension to videos by revealing imperceptible information hidden in small movements. Those movements can contain information on neurocognitive and affective states and thus could be a novel source of information during driving or neurocognitive experiments, complementing secondary sensors in the respective setup.
Ratioing method is one type of the most famous fusion methods in remote sensing image fusion domain. Generally, the ratioing method synthesizes a low-resolution panchromatic (Pan) image by adaptive weighted summation of a multispectral (MS) image. Consequently, the accuracy of the weights for low-resolution Pan image synthesis is of great importance. However, in most cases, the optical satellite images...
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