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Flow velocity estimation is an important feature in ultrasound imaging. However, in conventional color Doppler imaging, only parallel flow components can be estimated, the velocity information is not simultaneously measured throughout the region of interest (ROI) due to sequential firing of the ultrasound beams, and the size of the ROI is limited under frame rate concerns. On the other hand, ultrafast...
Following paper presents new approach to the problem of automotive Ki-67 proliferation factor estimation in breast cancer biopsy images. This method is based on context filtering with designated neighborhood masks for edge detection. Proposed method was designed to compensate two major problems: cell shape divergence from ellipse and variability of color hue along with intensity in cell staining....
One of the key tasks of Outdoor-type mobile robotics is traversability estimation of underlying surfaces in a in a priori of an unknown heterogeneous environment. The paper presents practical realization of traversability estimation system based on group method of data handling (GMDH). This method is classical technique of data mining and one of the first techniques of Deep Learning. The results of...
Hammering test is widely used as a non-destructive testing method for concrete structures. In hammering test, it is important for reducing human's burden and time-consumption because there are large and a lot of concrete surfaces which should be inspected. This paper introduces a novel approach to support hammering test effectively b y displaying the diagnostic results immediately on the concrete...
In personal fabrication, novel fabrication frameworks that promote fabrications that satisfy individuals' creative preferences will become indispensable. To realize such a framework, it is necessary to study the following: (1) estimation of the emotion that is expressed when performing the creative work and (2) adaptive recommendations based on those emotion estimates. In this study, we performed...
This research proposes a convolutional neural network based pupil center detection method from an eye image which is captured by a wearable eye camera. This paper investigates the detection accuracy by applying several preprocessing, such as edge detection, and binarization. We find the preprocess method in order to speed up the computation time. We collected approximately 8,000 eye images with six...
The modification of RS-steganalysis for BMP stego-images is offered. It is based on applying the method to a various size group of pixels. The traces of LSB embedding called trasological statistics of stego-program are accumulated. The modification gives more accurate results at based on the known program steganalytic attack.
In recent years, monitoring of coral reef status and health are done with the assist from image processing technique. Since underwater images are always suffer from major drawbacks, research in this area is still active. In this paper, we propose to use edge based segmentation where we modify the original canny edge detector and then use the blob processing technique to extract dominant features from...
Digital images captured in hazy conditions suffer from colour distortion and loss of contrast, posing difficulties in being applied for further applications. Due to the existed challenge and its great significance, a large amount of research has been conducted for image de-hazing. Among the image haze removal methods, the algorithm based on dark channel prior is proved to be the most effective. Furthermore,...
Estimating the initial background of a scene is a key prerequisite for several applications in video analytics. In this paper, we present a simple approach that takes into account spatio-temporal motion intensities while estimating the true background. We tested the algorithm on real video sequences from the Scene Background Initialization (SBI) benchmark dataset, and the results show that the algorithm...
Depth map estimation forms an integral part of many applications such as 2D-to-3D creation. There exists various methods in literature for depth map estimation using different cues and structure. Usually, depth information is decoded from these cues at the edges and matting is applied to spread it over neighboring regions. Defocus is one such cue due to its natural existence and does not require any...
An emerging trend in the field of image restoration is the removal of haze or fog from an image or video sequence to improve the quality of the image. Such image restoration techniques is widely used in applications like traffic monitoring and surveillance during hazy weather conditions, prediction and analysis of volcanic activities, etc. In this paper, we propose a novel algorithm based on a fusion...
The notion of complexity is widely-known and used. Various definitions of complexity exist: the Hausdorff dimension, fractal dimension, Kolmogorov complexity, Krohn-Rhodes complexity, Lyapunov exponents or the entropy, some of them with several definitions. All these measures were defined strictly for mathematical objects, but they may apply to real signals like texture images in particular. We are...
This paper proposes and analyzes the performance of noise estimation technique for multi-frame noisy images. The proposed method is then applied to denoise multi-frame color image that contain different level of image contents or activity levels. The evaluation results have shown that, for the image with high level of activity, i.e., the one with large high frequency components, our technique outperforms...
We present a method for removing specular highlight reflections in facial images that may contain varying illumination colors. This is accurately achieved through the use of physical and statistical properties of human skin and faces. We employ a melanin and hemoglobin based model to represent the diffuse color variations in facial skin, and utilize this model to constrain the highlight removal solution...
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate with high angular speed. FMOs are very common in sports videos, but are not rare elsewhere. In a single frame, such objects are often barely visible and appear as semitransparent streaks. A method for the detection and tracking...
Improvements in color constancy have arisen from the use of convolutional neural networks (CNNs). However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch may contain insufficient information to establish a unique or even a limited possible range of illumination colors. Image patches with estimation ambiguity not only appear with great...
Camera motion introduces motion blur, affecting many computer vision tasks. Dark Channel Prior (DCP) helps the blind deblurring on scenes including natural, face, text, and low-illumination images. However, it has limitations and is less likely to support the kernel estimation while bright pixels dominate the input image. We observe that the bright pixels in the clear images are not likely to be bright...
There is a significant interest in scene reconstruction from underwater images given its utility for oceanic research and for recreational image manipulation. In this paper we propose a novel algorithm for two view camera motion estimation for underwater imagery. Our method leverages the constraints provided by the attenuation properties of water and its effects on the appearance of the color to determine...
Separating an image into reflectance and shading layers poses a challenge for learning approaches because no large corpus of precise and realistic ground truth decompositions exists. The Intrinsic Images in the Wild (IIW) dataset provides a sparse set of relative human reflectance judgments, which serves as a standard benchmark for intrinsic images. A number of methods use IIW to learn statistical...
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