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The brain produces weak electrical signals that can be measured from the skull. Electroencephalography (EEG) is a method that provides monitoring electrical activity of the brain with the electrical methods. Brain Computer Interface (BCI) is a system that converts the electrical signals produced by the brain to the signals that can be interpreted by a computer or an electronic system. Brain Computer...
This paper proposes the method of propagation mode extraction on ionograms with the help of the Hough transform. Usually, the Hough transform for ionogram processing is used at the step of track autoscaling, when propagation modes already extracted. Authors propose a method for image binarization based on the application of abnormal sample extraction method which allows to use of the Hough transform...
Crowd analysis on video recordings is an important research area currently. In this work, a combined crowd density estimation method is presented to overcome this problem. To improve the accuracy of the system two different estimators run simultaneously and a blob is marked as a person only if both estimators mark it as person. One of the main problems in crowd density estimation is occlusion. To...
In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method based on a deep neural network architecture. DAN consists of multiple stages, where each stage improves the locations of the facial landmarks estimated by the previous stage. Our method uses entire face images at all stages, contrary to the recently proposed face alignment methods that rely on local patches. This...
Establishing reliable correspondences is often challenging for retinal image registration with poor quality and low overlap. The conventional local search methods usually find many incorrect correspondences by feature descriptor, which would degrade the accuracy of image registration. In this paper, we propose a robust correspondence detection framework for low overlap and poor quality retinal image...
Skew angle detection is one of the most important component of Optical Characters Recognition (OCR) systems and documents analysis. Taking documents by the blind and visually impaired people with a mobile phone always have a degree of inclination. In this paper, a novel and an efficient method based on extraction of Harris corner features points and Hough transform is presented to estimate skew angle...
Coordinating of large images through coupled decomposition are considered in this paper. Include based strategy set up a correspondence between various particularly unmistakable focuses in images. At the point when actualizing coupled decomposition with the component based coordinating method, the issue of quick and exact extraction of focuses that compares to a similar area from a couple of huge...
We propose an estimation method of initial labels based on scale-invariant feature transform (SIFT), high dimensional color transform (HDCT), and machine learning for propagation-based saliency detection. The label propagation strategy is efficient for saliency detection, but its accuracy depends on the distribution of initial labels. In this paper, the proposed method respectively estimates initial...
For multi-sensor data fusion applications the accurate alignment of different sensor data is essential for the proper combination of matching features. In food inspection system the boxing often is in a rectangular shape. This knowledge can be used to rectify the image data, an important step in the alignment stage. In case of low contrast between boxing and background, the detected contour may differ...
In recent years, the Unmanned Aerial Vehicles (UAVs) technologies are widely employed in many fields such as disaster monitoring, map revision, and aerial imagery. A UAV aerial remote sensing system has several advantages such as low cost, high spatial resolution, and flexibility. However, one single UAV image can only cover a small area due to the limited altitude of the vehicle and the restricted...
This paper presents a study on frame-level multi-pitch estimation (MPE) for polyphonic piano music based on sparse representation approach. In this approach, a multi-pitch input spectrum is represented by a sparse linear combination of a large number of spectrum exemplars in a given dictionary. By estimating the sparse weight vector and identifying its non-zero elements, a set of possible pitch candidates...
Weeds are among the most significant and costly environmental threats in Australian agriculture. The distribution, size, density and species of weeds are often heterogeneous in cropping lands. Instead of uniformly spray the same type of herbicide to a whole farm land, using weed maps to do selective spray can reduce herbicide usage and therefore can reduce the serious problems of herbicide resistance,...
Since the ship wakes appear in SAR images as dark/bright lines, they are typically identified by using line detectors, such as the Radon Transform. The most assessed techniques imply the thresholding approach in the Radon domain in order to recognize peaks and troughs representative of ship features. In this ambit, the paper shows an application of an original approach for wake detection in high-resolution...
Image registration is extensively used in many application domains such as medical, remote sensing, computer vision etc. The basic purpose of image registration is to obtain finest geometrical and radio-metrically aligned image from temporal or multi-modal image sensors. In this study, a novel salient feature-based image registration scheme has been designed and implemented by establishing a set of...
Table detection is of importance in the field of document images analysis and processing, especially table frame line detection. Although a great success has been achieved for high quality images during the past decade, table detection in low quality images still remains a challenge. To address this problem, we proposed a neoteric method to detect table frame line automatically in low quality document...
Accurately detecting cellular structures in fluorescence microscopy is of primary interest for further quantitative analysis such as counting, tracking or classification. We aim at segmenting vesicles in TIRF images. The optimal segmentation scale is automatically selected, relying on a multiscale feature detection stage, and the segmentation consists in thresholding the Laplacian of Gaussian of the...
Pose and structural features are widely used in automatic target recognition (ATR) systems. A procedure is proposed to extract such features of ships from synthetic aperture radar (SAR) images. The ship closed-contour image is first produced using a standard algorithm. A new two-step process is then presented for exact azimuth angle estimation. Modified criteria of centerline and minimum enclosing...
The Stroke width is an important and stable feature to describe the texts in the document images. In this paper, we propose a method for finding stroke width variety in city map images. Since in city maps the graphics lines and text labels are usually overlap with each other, it is difficult to find the stroke width in such images. On the other hand, texts are printed in a variety of widths. Knowing...
Head pose estimation is an important preprocessing step in many computer vision and pattern recognition systems such as face recognition. Compared to face detection and recognition which have been wildly used in computer vision systems, head pose estimation has fewer proposed systems and generic solutions. In this paper we propose a novel approach for robust human head pose estimation using contourletSD...
Lines provide important information in images and line detection is crucial in many applications. Many line features can be used to detect line position while line width (i.e., thickness) is a more structured, higher-level feature compared to edge or other line features. Every point of the wide line structure has its own width in spite of the structure's asymmetry. In this paper, we use the parallel...
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