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In this paper a novel approach for automatic bird species classification is described. The proposed strategy is based on features taken from the textural content of spectrogram images of bird vocalizations. We show how several texture descriptors can be used for representing the spectrograms. The following approaches are tested here with spectrograms for the first time: Local Ternary Phase Quantization,...
This paper presents identification and control of a nonlinear hydraulic system based on visual feedback provided by a simple camera and computer vision methods that result in an ability to measure the height of levels of liquid in a three-tank system. Visual measurement channel is realized using a Web camera from which the picture is exported to Matlab and using Image processing Toolbox functions...
A new algorithm based in Crεmε Filter, is presented for breast cancer detection. The images obtained show micro calcifications with better contrast, allowing a better detection of cancer. The filter has only one parameter that permitting to observe texture when parameter is changed.
Non-verbal information portrayed by human facial expression, apart from emotional cues also encompasses information relevant to psychophysical status. Mouth activities in particular have been found to correlate with signs of several conditions; depressed people smile less, while those in fatigue yawn more. In this paper, we present a semi-automated, robust and efficient algorithm for extracting mouth...
Subpixel edge detection is critical in three-dimension computer-assisted intra-operative navigation based on a marker-based matching technique, because it significantly influences the accuracy of guidance. In order to increase the accuracy, a gray moment based method is proposed to extract the accurate contours of the connected areas. Firstly, a border following algorithm is used to acquire a rough...
This paper presents a proposed technique for dual-axis solar tracking system using fusion based approach of an astronomical based estimation and a visual sensor based feedback to locate and track sun position continuously time by time. The astronomical based calculation is used to estimate azimuth and elevation angles of a dual-axis solar power plant with respect to the time and location of the plant...
In this paper we propose a novel method for finding the fovea in colored images of the eye fundus. We use an image correlation coefficient to find the fovea, which is calculated from a set of template images of the fovea. The results, using the DIARETDB1 database, indicate that our method detects the fovea region with an accuracy of 82,02%.
In the early years of college, students have the need to learn how to program in any programming language. It is important to see the differences between programming languages and their rules. We are proposing an interactive and self-study system for students to acquire the knowledge they need, from data structures to algorithms using multiple programming languages. The system gives the students some...
Today, computer-based training is developing rapidly. The visual education is also quite commonly used in higher education as well as in primary and secondary education. The tablets, smart boards and computers constitute the basis of visual education. Visual education has many advantages, such as learning faster, memorability and in terms of paper expenses. The visual animations and presentations...
Computational visual atention models aims to emulate the Human Visual System performance in selecting relevant features for efficient visual scene processing. As a result, visual saliency maps highlights relevant visual patterns in an image, possibly associated with objects or specific concepts. In the analysis of medical images, this allows the radiologist or clinical expert to focus the attention...
We developed an optical distortion correction technique for an eyeglasses-type wearable device using a multi-mirror array (MMA). This wearable device is small and light weight, but optics using MMA can cause optical distortions, such as geometric distortion and chromatic aberration of magnification, that depend on the user's pupil distance and degrade the visibility of displayed virtual images. We...
With the recent stunning success of machine learning, artificially intelligent machine vision research falls (roughly) into two camps: the big data camp and cognitive informatics camp. Big data uses statistical methods to discover latent structures that emerge from the co-occurrences of relevant features when sampling over enormous quantities of data. The cognitive informatics methods design computer...
With the development of construction, curtain wall which are the exterior decorator of buildings are more and more popular. The quality of curtain wall installation relates to the beauty and safe. In order to improve the test precision of curtain wall installation and reduce the man-made influence, a kind of quality evaluation machine for curtain wall installation was developed. It consists of structured...
The region of interests (ROI) detection plays an important role in the remote sensing data processing and analysis. In this paper, a new region of interest detection method based on salient feature clustering for remote sensing images is proposed. Four steps are included in the proposed method. First, the information salient feature maps are constructed by computing the spectrum information and histograms...
Cartridge fuse is widely used in many kinds of electronic circuits and plays an important role in various applications. Compared with traditional inspection method for character sign on cartridge fuse manually, on-line machine vision inspection method has tremendous superiority. Therefore an automatic visual inspection method based on template matching is proposed in this paper. The method is as follows:...
Gaze estimation is the process of determining the point of gaze in the space, or the visual axis of an eye. It plays an important role in representing human attention; therefore, it can be most appropriately used in Human Computer Interaction as a means of an advance computer input. Here, the focus is to develop a gaze estimation method for Human Computer Interaction using an ordinary webcam mounted...
Correct recognition of emotion veracity exhibited in facial gestures is troublesome for people. Yet, there is a belief that computer systems are able to perceive some tiny changes correlated to veracity expression, invisible for people, and therefore are able to improve proper perception of emotions. This work addresses the problem of spontaneous and posed smile recognition and suggests two approaches...
In this paper, the implementation to estimate the focus map spatially based on the intentional reblur of one image, which is the only input data, is presented. This enables flexible computation in the spatial domain, rather than the frequency domain. The gradient magnitude term widely used in image processing was used to derive a ratio map. The pixels closer to the focal point of the camera were on...
This paper proposes a novel model, called Similarity Based on Visual Attention Features (SimVisual), to enhance the similarity analysis between images by considering features extracted from salient regions mapped by visual attention models. Visual attention models have demonstrated to be very useful for encoding perceptual semantic information of the image content. Thus, aggregating saliency features...
Google Cloud Vision is an image recognition technology that allows us to remotely process the content of an image and to retrieve its main features. By using specialized REST API, called Google Cloud Vision API, developers exploit such a technology within their own applications. Currently, this tool is in limited preview and its services are accessible for trusted tester users only. From a developer's...
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