The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Measuring area of tumor in human's brain from only single image may provide incorrect information for further diagnosis. Generally, a doctor or an expert must examine a brain tumor from several sequential MRI images to conclude its size or the severity level of patient's illness. To imitate the way a doctor diagnosing such case in a real situation, some digital image processing techniques are proposed...
Typically, a sequence of the Magnetic Resonance Imaging (MRI) images is composed of a certain number of images projecting some internal organs of a human, such as brain and eyeballs of the human's head, which is the case chosen for our demonstration. Each of MRI images in the sequence presents only a thin layer of the whole head. The image processing techniques proposed in this paper aims to allow...
This paper proposes a model for detecting objects with geometric shapes in an image whose file format is SVG (Scalable Vector Graphics). The SVG is known as a type of vector images. A major interesting feature of SVG is that components in victor images are created using mathematical theories and equations, in addition, vector images have many more advantages over raster images in various aspects....
This paper proposes a method with flexibility in detecting and recognizing northern Thai fabrics which usually include various delicate patterns or traceries. Due to delicacies in unique patterns of northern Thai fabrics, especially ones called Sarong Teenjok or even other Lanna textiles, flexibility in searching and detecting such patterns is required. Authors thus propose a method using some parameters...
This paper proposes an under-sampling method with an algorithm which guarantees the sampling quality called k-centers algorithm. Then, the efficiency of the sampling using under-sampling method with k-means algorithm is compared with the proposed method. For the comparison purpose, four datasets obtained from UCI database were selected and the RIPPER classifier was used. From the experimental results,...
Classifiers have known to be used in various fields of applications. However, the main problem usually found recently is about applying a classifier to large datasets. Thus, the process of reducing size of the training set becomes necessary especially to accelerate the processing time of the classifier. Concerning the problem, this paper proposes a new method which can reduce size of the training...
Flower cluster in longan production can be separated into two types, one with young leaf underneath and the other without. Each type of cluster requires different treatments of chemical fertilizer. The method to differentiate the type of longan flower clusters is challenging, as the color tone of a young leaf and fully mature one are extremely similar. This paper presents image processing techniques...
Human hand detection is one of a popular researches in the field of object detection. One obvious problem of hand detection is about orientation angles of the hand position. That is, most detectors cannot detect a human hand lying in various orientation angles recently. Detecting hand with various orientation angles can be done using decision tree as a degree estimator. Using the decision tree as...
In this paper we introduce a special type of virtual networks called an overlay network. We first study a decision problem called the Overlay Network Verification Problem and show that this problem is NP-complete. We then place some restriction to the original problem and prove that the Overlay Network Verification Problem still remains NP-complete. A similar problem called the Two-Label Overlay Network...
Class-imbalance problem is the problem that the number, or data, in the majority class is much more than in the minority class. Traditional classifiers cannot sort out this problem because they focus on the data in the majority class than on the data in the minority class, and then they predict some upcoming data as the data in the majority class. Under-sampling is an efficient way to handle this...
Template matching is a technique in digital image processing for finding a target object which matches the given template's pattern. This paper mainly aims to apply the template matching technique to check the answer sheet with multiple choices in order to reduce the cost of using an expensive machine called the Optical Mark Reader (OMR) machine as usual. Even more, the machine works with only a high...
This paper aims to apply the object detection used in Augmented Reality (AR) technology to a real-time application for musical instrument, a virtual piano. The proposed application does provide the sounds of musical notes and also display the corresponding notations of the playing notes. Both features allow people with hearing disability or muscular weakness or even ones who cannot exert their pressure...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.