Serikawa Seiichi

An Improved Method for CT/MRI Image Fusion on Bandelets Transform Domain

People living in the information age, are more and more attention to their own lives. It is also said, social life is more important in present and future. The social life contains three fields. In this paper, we will propose a new method for adjunctive therapy in social life. Recent years, as the bandelets transform has some benefits, many scholars are interested in this field. They proposed many methods to solve different problems in different fields. In this paper, we propose a new maximum local energy method to calculate the low coefficients of images. And then adopt the sum modified laplacian method to select the high coefficients of images. Later, we compare the results with wedgelets transform. In our experiments, we take wedgelets transform, bandelets transform, and LE-wedgelets transform for comparing the results. Beside the human vision, we also compare the results by quantitative analysis. The numerical experiments state clearly that the maximum local energy is an effect way for image fusion, which can get well performance in visual effect and quantitative analysis. During 100 clinic CT/MR fusion experiments in practice, compare with previous methods, the PSNR of our method is improved respectively 5.836, 5.337, 0.035.

Proposal of Fast Implicit Level Set Scheme for Medical Image Segmentation Using the Chan and Vese Model

People living in the information age, are more and more attention to their lives. It is also said, social life is more important in present and future. The social life contains three fields. In this paper, we propose a new model for active contours to detect objects in a given medical image, in order to facilitate people to have medical treatment. The proposed method is based on techniques of piecewise constant and piecewise smooths Chan-Vese Model, semi-implicit additive operator splitting (AOS) scheme for image segmentation. Different from traditional models, our model uses the level set which are corresponding to ordinary differential equation (ODE). Our model has more improved characteristics than traditional models, such as: less sensibility of noise; unnecessary of re-initialization and high speed by the simplified ordinary differential function. Finally, we validate the proposed model by numerical synthetic and real images. The experimental results demonstrate that our model is at least two times more efficient than the widely used methods.

A Monitoring System to Prevent Forgetting to Take Medicines on Time Using Funnel-Shaped Sensors

To prevent people to forget to take medicines, we propose a new monitoring system to prevent forgetting to take medicines on time. In this system, we develop a funnel-shaped sensor consisting of a holder with an LED below the lid of the holder and a photo detector at the bottom to detect medicines. When medicines are dropped into the sensor, they fall down to the bottom of the sensor and the photo detector receives only part light of the LED. According to the value of the output of the photo detector, it can be easily to judge medicines with a proper threshold value. Highly accurate monitoring system to prevent forgetting to take medicines can be produced by using this sensor. If medicines are not taken at time to take medicines, the system announces to the user.

A New Image Segmentation Method Based on Improved Fast Implicit Level Set Scheme in X/γ-Ray Inspection System

Digital X/γ-ray imaging technology has been widely used to help people deliver effective and reliable security in airports, train stations, and public buildings. Nowadays, luggage inspection system with digital radiographic/computed tomography (DR/CT) represents a most advanced nondestructive inspection technology in aviation system, which is capable of automatically discerning interesting regions in the luggage objects with CT subsystem. In this paper, we propose a new model for active contours to detect luggage objects in the system, in order to facilitate people to identify the things in luggage. The proposed method is based on techniques of piecewise constant and piecewise smooths Chan-Vese Model, semi-implicit additive operator splitting (AOS) scheme for image segmentation. Different from traditional models, the fast implicit level set scheme (FILS) is ordinary differential equation (ODE). Characterized by no need of any pre-information of topology of images and efficient segmentation of images with complex topology, the FILS scheme is fast more than traditional level set scheme 30 times. At the same time, it performs well in image segmentation of DR images in our experiments.

Development of Position Detector with Large Sensing Area Using Frosted Glass

This paper proposes a new position detector using frosted glass and four photo detectors. Four photo detectors are arranged under the four corners of the rough surface of frosted glass. When this sensor is irradiated by laser pointer, the light repeats reflection in the frosted glass and arrives at the photo detectors. The light intensity decreases by the increasing of distance between the photo detector and the irradiating point. Therefore, the distance between a photo detector and the irradiation point can be worked out from the output of the photo detectors. Thus, the light irradiation point can be derived from the distances with the four photo detectors. This sensor is low cost and has a large sensing area. In addition, this sensor also can be used as a pointing device because the movement of the light on the frosted glass can be judged.

Development of Non-Contact Type Chewing Sensor Using Photo-Reflector

This paper proposes a new non-contact type chewing sensor using photo-reflector. The modulated infrared rays from the infrared LED of photo-reflector irradiate the mandible. The reflected light is received by the photo detector of photo-reflector. The chewing sensor recognizes chewing from the big movement of the mandible by chewing. By wearing the sensor in the ear, this sensor can be used in any place. The unpleasantness when using the chewing sensor is a little because the chewing sensor is non-contact type. In addition, the chewing sensor can accurately judge whether the user is chewing or not.

Person Localization System Using Privacy-Preserving Sensor

A privacy-preserving sensor for person localization has been developed. In theory, the sensor can be constructed with a line sensor and cylindrical lens because only a one-dimensional brightness distribution is needed. However, a line sensor is expensive. In contrast, CMOS area sensors are low cost and are increasing in sensitivity according to recent rapid advancement in the technology. Therefore, we covered the CMOS area sensor physically so that it behaved as a line sensor, we substituted CMOS sensors for the line sensors in practice. The proposed sensor obtains a one-dimensional horizontal brightness distribution that is approximately equal to the integration value of each vertical pixel line of the two-dimensional image. It is impossible to restore the two-dimensional detail texture image from one-dimensional brightness distribution, although it obtains enough information to detect a person’s position and movement status. Thus, the privacy is protected. Moreover, the appearance of the proposed sensor is very different from the conventional video camera, so the psychological resistance of having a picture taken is reduced. In this work, we made the privacy preserving sensor practically, and verified whether a person’s state was able to be detected. The simulation results show that the proposed sensor can detect a present person’s state responsively without violating privacy.

Proposal of Driver Symbol Mark Detection Using One-Dimensional Histogram Figure Extraction Method

Nowadays, research and development in vehicle safety system has been intensively conducted. In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. But, human factors are important risks of traffic accidents. However, research is focused on road signs, in the driver information analysis is not enough. So, in this study we describe a new method to extract driver symbol mark using one-dimensional histogram. The method utilizes the Polytope method which is one of minimization algorithms. For the extraction of figures, one-dimensional histogram is used. On the method of this study, the algorithm is simple, the memory space is very small, and the processing time is very short.

A Wearable Supporting System for Visually Impaired People in Operating Capacitive Touchscreen

We propose a wearable supporting system with a CMOS image sensor for the visually impaired people in operating capacitive touchscreen. This system attaches the CMOS image sensor without a lens to the tip of the middle finger. The icons and buttons displayed on the touchscreen are replaced to the color barcodes. Touching the surface of the touchscreen with the CMOS image sensor directly, the color barcode is detected and decoded. The decoded results are returned to the user by some interaction like audio. Then, the user touches the button area around the color barcode by the forefinger to operate the target device. This system can provide very easy and natural way for operating the touchscreen to the visually impaired people who usually recognize the materials by the finger. Any mechanical modification of the target device is not needed. The modification can be made by changing its software program. Since the color barcode is sensed by the image sensor without any lens touching the surface of the touchscreen, each bar in the color barcode should be blurred. So, we　develop an easy and simple image processing to handle such problem. We design it as the hardware module to achieve the high performance and low-power wearable device. A prototype hardware using an FPGA shows the hardware size, the performance and the actual demonstration.

A Method for 3D Sphere Detection Using one-Dimensional Histogram and Polytope Method

We propose a new method for a detection of a 3D sphere. This method uses polytope method, a kind of minimization algorithm. One-dimensional histogram is used to detect a 3D sphere. The histogram has two characteristics. (1) The distribution of the histogram changes if the parameters of representing the 3D sphere changes. (2) The value of highest frequency of histogram becomes maximum if the best parameters are obtained. Therefore, the maximum value of highest frequency of histogram is searched to obtain the best parameters of a 3D sphere by using polytope method. By using polytope method, proposed method can detect a 3D sphere from 3D vertex data including other shapes without a large memory space and a lot of processing time.