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In life we find a lot of several problems that touch all domains. One of them is dental medicine, which was crashing into the mechanical treatment. Nowadays, the appearance of computers in orthodontics has provided a solution to various problems and has facilitated many operations. The objectives of this study is to find a virtual approximation to real orthodontics problems of teeth movement based...
Postural instability affects a large number of people and can compromise even simple activities of the daily routine. Therapies for balance training can strongly benefit from auxiliary devices specially designed for this purpose. In this paper, we present a system for balance training that uses the metaphor of a game, what contributes to the motivation and engagement of the patients during a treatment...
Jigsaw puzzle is one of the brain game, which is used in many applications, such as, in archeology, biology, games, and other life issues. There are important things that fail from the setting of the puzzle it self, for example on its pieces of the jigsaw puzzle. In this paper, the researchers analyze the set of the square jigsaw puzzle that is already arranged but has one or more missing pieces....
Sign language is the language of hearing and speech impaired people. And Hand gesture is key method used in sign language by hearing and speech impaired people to communicate with themselves as well as with normal people. Hence in this paper introduced software which presents a system prototype that is able to automatically recognize sign language to help people who suffer from speech and hearing...
Skin cancer is one of the most prevalent types of cancer in our world. Diagnosis of skin cancer needs specialized equipment, doctors and continuous monitoring. Patients living in remote areas normally cannot access such facilities. To overcome these barriers of access, Computer Aided Diagnostics, an emerging field in computer science, often called telemedicine, is being considered a promising approach...
Capsule endoscopy (CE), introduced as a modality for non-invasive examination of entire gastrointestinal tract, demands for an efficient computer-aided decision making system to relieve the physician from the responsibility of screening around 60,000 video frames per patient. An automatic and robust segmentation algorithm can aid the automation of CE screening and decision making procedure. In this...
Wood defect detection has an important influence on the automation of wood industry. In view of the complexity of wood defect segmentation, this paper proposes the hybrid algorithm of genetic algorithm and particle swarm optimization algorithm. Firstly, the contrast of the image is enhanced by the linear transformation function. Then, applying genetic algorithm and particle swarm-genetic hybrid algorithm...
The main objective of this study was to develop a new technique for MR Image segmentation that not only addresses the shortcomings of existing segmentation methods, but also preserves the advantages they offer, thus leading to high accuracy while segmenting the designated target from the MR image. The proposed method consists of two parts, first part is to enhance the contrast between the target and...
Image segmentation is found to be critical issue in vision processing. Segmenting the images in more proficient manner is still a challenging issue. Many techniques has been proposed so far, but no one is effective for a particular kind of image. The comprehensive review has shown that the use of fuzzy enhancement is not considered in gray stretch based method. The existing technique provides poor...
Detection of Dental plaque is important for the doctors, the victims as well as the researchers. Plaque is a Microbial Biofllm that continuously forms on the teeth surface, later it reacts with food materials that contains higher concentration of sugars, starches and then releases acids. Finally it attacks the tooth enamel causing gingivitis and other diseases if proper treatment is not given. Though...
Image matching is one of the active areas of research in today's world. There exist many ways in which two images can be matched. When the size of the image is very large, it incurs more computational time and cost. In this paper, an efficient algorithm to match large images is proposed. This algorithm works by generating key features using SIFT algorithm. This SIFT features are then clustered using...
Nodule detection in chest radiographs is a main component of current Computer Aided Diagnosis (CAD) systems. The problem is usually approached as a supervised classification task of candidate nodule segments. To this end, a discriminative model is learnt from predefined set of features. A key concern with this approach is the fact that some normal tissues are also imaged and these regions can overlap...
In this paper an unsupervised colour image segmentation algorithm is presented. This method combines the advantages of the approaches based on split&merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions,...
Sindhi language is script language like Arabic and Persian. It's origin is 2500 years old and spoken in various countries in Asia. In this paper, we propose an Optical Character Recognition (OCR) system which recognizes handwritten Sindhi numeral expressions (i.e. Sindhi handwritten numeral strings) without using common input devices such as keyboard and storage device memory. Our experiments focus...
Medical images are complicated to analyze in terms of digitalization. Breast cancer detection technique for telemedical approach in telemammography services for rural Indian women is been proposed in this paper. The output of the technique is to dynamically generate the report on input samples, the algorithm involves segmentation, and image enhancement of the samples for better processing followed...
In remote sensing multisensor image fusion or registration is the process of combining relevant information from two or more images into a single image. The resulting image will be more informative than any of the input images. In order to transform the remote sensing images to retrieve more information, this paper proposes a hybrid method that consists of image segmentation, salient region detection...
Standard fuzzy c-means algorithm only considers gray information and noise tolerance ability is poor. In order to overcome the drawbacks of traditional fuzzy c-means algorithm, a kind of improved ant colony algorithm is used to optimize fuzzy c-means. Then a new kind of image segmentation algorithm is put forward based on improved fuzzy c-means method. The experiment results show that the proposed...
This paper provides a comprehensive survey on the recent techniques of human activity recognition. The goal of the activity recognition is to automatically analyze the ongoing events. The applications of activity recognition are manifold, ranging from visual surveillance to control and video retrieval. The task is challenging due to variations in recording settings of people, environment and scene...
The objective of this review paper is to discuss about the strengths and weaknesses in the visual and audio CAPTCHAs. The basic techniques in breaking visual CAPTCHAs are discussed in detail. The issues regarding usability features are studied by choosing the user affinity by means of reaching the users through questionnaire. In order to avoid the risks in text-based CAPTCHAs, random images based...
The brain tumor tissue detection allows to localize a mass of abnormal cells in a slice of Magnetic Resonance (MR). The automatization of this process is useful for post processing of the extracted region of interest like the tumor segmentation. In order to detect this abnormal growth of tissue in an image, this paper presents a novel scheme which uses a two-step procedure; the k-means method and...
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