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The aim of an automatic video-based facial expression recognition system is to detect and classify human facial expressions from image sequence. An integrated automatic system often involves two components: 1) peak expression frame detection and 2) expression feature extraction. In comparison with the image-based expression recognition system, the video-based recognition system often performs online...
Complications caused due to diabetes mellitus result in significant microvasculature that eventually causes diabetic retinopathy (DR) that keeps on increasing with time, and eventually causes complete vision loss. Identifying subtle variations in morphological changes in retinal blood vessels, optic disk, exudates, microaneurysms, hemorrhage, etc., is complicated and requires a robust computer-aided...
This special problem issue is intended to help in the detection and face recognition in order to arrest suspects for investigative by using techniques and tricks “Eigen Face” and pairing with “SIFT” (Scale invariant Feature Transform). If it found to be suspect, it will hit the frame surrounding the face of the suspect and the suspect's case number. Then, it will pair face to face in a database system...
Chords transposer based on Optical Character Recognition (OCR) aimed to increase-decrease chords progression of musical chords in musical websites. By using the OCR, we can transform the information of image into the information of text which is easy to manipulate. In our proposed method, the chords transposer will change captured image of chords and lyrics into character or text-chords. The text...
One of the dominant causes of visual impairment worldwide is Cataract. It causes a blurred and foggy vision which can lead to partial or complete loss of eyesight. A protein layer is developed gradually and the lens becomes cloudy over a long period of time which reduces vision and leads to blindness. Early treatment can lessen the difficulties faced by cataract patients and avert visual impairment...
Grape constitutes one of the most widely grown fruit crop in the India. Manual observation of experts is used in practice for detection of leaf diseases, which takes more time for further control action. Without accurate disease diagnosis, proper control actions cannot be taken at appropriate time. This is where modern agriculture technique is required to detect and prevent the leaf from different...
Ultrasound (US) Doppler spectrograms have been widely used for diagnosing vascular obstructions. This paper presents an Android smartphone based new approach for detecting the blood flow condition based on the US Doppler spectrogram images. A set of 59 spectrograms acquired from a US Doppler system is processed to extract features, and these non-redundant features are fed into a supervised classifier...
Poaching for massive traditional medicine demands is the single greatest threat of extinction that looms over most wildlife especially the endangered tiger. One way to curb the poaching activity is to have tighter monitoring of the protected area by using camera traps. In this research, an embedded system with human detection features for anti-poaching application is proposed. The system uses a 4...
Cinnamon cultivation is the main income source of a set of areas in Sri Lanka. Peeling cinnamon is a complex task of the cinnamon harvesting process after identifying the matured cinnamon trees. Expertise knowledge is essential to identify matured trees using the traditional method. Otherwise, it may cause the wastage of cinnamon, by cutting immature cinnamon trees. This research addresses the automated...
Agriculture industry is one of the main economic activities in Asean countries. The activities involved a lot of crop planting and yield production in paddy, rubber, oil palm and so forth. Meanwhile in Malaysia, paddy is the third most widely planted crop after oil palm and rubber. Rice, produced by paddy, is considered to be one of Malaysia and Asean staple food and cereal crops. Due to its importance,...
Breast cancer is the most frequently diagnosed non-skin cancer and the leading cause of cancer-deaths among women. With the advances in digital image processing techniques, it is envisaged that Computer aided diagnosis (CAD) systems can be devised to claim results at par with that of a histopathologist. The inherent assumption of this paper is that image-processing techniques and RBFN can be used...
Escherichia coli (E. coli) bacteria is one of the major biological contaminant of water in developing countries. According to WHO nearly 4 billion cases of diarrhoea and 2.2 million deaths in developing countries is because of E. coli. chlorination is an effective and scalable way of decontaminating and making water potable. The correct amount of chlorination is crucial; under-chlorination does not...
Tiny target detections, especially power line detection, have received great attention due to its critical role in ensuring the flight safety of low-flying unmanned aerial vehicles (UAVs). In this paper, an accurate and robust power line detection method is proposed, wherein background noise is mitigated by an embedded convolution neural network (CNN) classifier before conducting the final power line...
Brand awareness is an important issue for the advertising. How to know the effective of every ad for business is always being studied. This paper present a face detection based on the use of eyes tracking system, that can track how long, does the consumer pays attention on current advertising. Firstly, we use the harr-likes features to capture the faces in the image. Secondly, with the similar feature...
This paper introduces a novel method for blind speech segmentation at a phone level based on image processing. We consider the spectrogram of the waveform of an utterance as an image and hypothesize that its striping defects, i.e. discontinuities, appear due to phone boundaries. Using a simple image destriping algorithm these discontinuities are found. To discover phone transitions which are not as...
Diabetic Retinopathy (DR) is one of the leading causes of blindness amongst the working age population. The presence of microaneurysms (MA) in retinal images is a pathognomonic sign of DR. In this work we have presented a novel combination of algorithms applied to a public dataset for automated detection of MA in colour fundus images of the retina. The proposed technique first detects an initial set...
Automatic segmentation of the normal features such the blood vessels may help to develop the future of medicine. It can give an earlier diagnosis of such eye diseases as diabetic retinopathy and glaucoma; it can support the specialists in their decision as well. In this paper, a method of retinal blood vessel segmentation is proposed. The database used is HRF of a total of 45 fundus images. The fundus...
Growth monitoring in tree plantation farms plays a crucial role in taking necessary actions from early stages to improve harvesting efficiency. Unmanned aerial vehicles (UAVs) provide a fast and efficient way to acquire data from large farms with difficult access. We propose a novel end-to-end system composed of multiple stages to identify areas where seeds have not grown as expected in young tree...
The fresh and defective beef identification by consumers is subjectively through visual observation. However, identifying beef quality manually has disadvantage, there is human visual limitations, differences in human perception in assessing the quality of an object, and ability of each individual knowledge are different. Therefore, we need a technological device that can be applied to identify the...
Analysis of lace texture images is a challenging problem because the lace is a soft and extensible material and can be easily deformed. This paper investigates a whole system for lace classification. A first step, based on Otsu's segmentation method, allows to remove the background. Then the lace texture is characterized using local binary patterns (LBP). In order to be robust against rotation the...
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