Yuhki Kitazono

Restroom Human Detection Using One-Dimensional Brightness Distribution Sensor

As aging society problem goes serious; systems to confirm safety of elders in daily life are expected. In this paper, a sensor, which detects person localization without privacy offending, applying brightness distribution is realized. In the proposed design, the sensor is constructed with a line sensor and cylindrical lens to obtain one-dimensional brightness distribution. Comparing with conventional line sensors, CMOS area sensors are with low cost, and high sensitivity. Therefore, in the proposed sensor, the CMOS area sensor is applied as covered in certain areas physically, so that it behaves as a line sensor. The proposed sensor is able to obtain one-dimensional horizontal brightness distribution that is approximately equal to integration value of each vertical pixel line of two-dimensional image. By employing this method, the information of the target person’s position and movement status can be obtained without using two-dimensional detail texture image.

Local energy based Multi-focus image fusion method on curvelet transforms

Because of the limited depth-of-focus in optical lenses, it is usually difficult to get an image that contains all information of the objects clearly. So, Multi-focus image fusion method can be proposed. This paper introduces a new multi-focus image fusion method, which is based on curvelet transform. After analyzing the classical multi-focus image fusion method, we use the maximum local energy method to calculate the energy of two images. Firstly, we got the coefficients of two different source focus images by curvelet transform; Secondly, we select the low-frequency coefficients by local energy, and through a sliding window, obtained output the Maximum energy pixel information. Then, the high-frequency coefficients are gotten by absolute maximum method; Finally, the fused image was obtained by performing an inverse curvelet transform. The numerical experiment results and visual effects show that the method performs well. Compared with wavelet transform method, this method can get better performance.

Slit Type One-Dimensional Brightness Distribution Sensor

As aging society problem goes serious, systems to confirm to safety of elders in daily life are expected. In this paper, a sensor, which detects person localization without privacy offending, applying brightness distribution is proposed. In the proposed design, the sensor is constructed with a line sensor and slit to obtain one-dimensional brightness distribution. The proposed sensor is able to obtain one-dimensional brightness distribution that is approximately equal to integration value of each vertical pixel line of two-dimensional image. By employing this method, the information of the targets position and movement status can be obtained without using two-dimensional detail texture image. In this paper, the effectiveness of the proposed method is confirmed by experiments.

Slit-type one-dimensional brightness distribution sensor for object tracking

This paper presents a novel computational imaging method for object tracking. The proposed slit-type one-dimensional brightness distribution sensor (Obrid-Sensor) is designed to be applied to detect falls, localize, and track subjects without invading privacy. According to the vertical and horizontal one-dimensional brightness distributions acquired by the proposed sensors, the subjects motion is monitored without images or videos. The effectiveness of the proposed method to detect falls, localize, and track is verified by experiment. The motion detection and location can be implemented without requiring images or videos, which may invade privacy. The detection range of the proposed privacy-preserving sensor is also confirmed. Finally, the proposed sensor has a simpler structure than the traditional Obrid-Sensor, making it attractive owing to its simple design, facile application, and low cost.

Detection range fitting of slit type Obrid-Sensor

As aging society problem goes severe, systems to confirm to safety of elders in daily life are expected to relieve burdensome safety confirmation tasks of care workers. In this paper, a sensor, which detects person localization without privacy offending, applying Obrid-Sensor is proposed. In the proposed design, the Obrid-Sensor is constructed with a line sensor and a slit to obtain one-dimensional brightness distribution. The proposed sensor is able to obtain one-dimensional brightness distribution that is approximately equal to integration value of each vertical pixel line of two-dimensional image. Meanwhile, the novel slit type Obrid-Sensor, which was constructed without Rod lens, is studied in this research. By employing the proposed sensor, the information of a subjects position and motion can be obtained without using two-dimensional texture image. The effectiveness of the proposed method is confirmed by experiments.

Multimodal Medical Image Fusion in Extended Contourlet Transform Domain

As a novel of multi-resolution analysis tool, the modified sharp frequency localized contourlet transforms (MSFLCT) provides flexible multiresolution, anisotropy, and directional expansion for medical images. In this paper, we proposed a new fusion rule for multimodal medical images based on MSFLCT. The multimodal medical images are decomposed by MSFLCT. For the high-pass subband, the weighted sum modified laplacian (WSML) method is used for choose the high frequency coefficients. For the lowpass subband, the maximum local energy (MLE) method is combined with “region” idea for low frequency coefficient selection. The final fusion image is obtained by applying inverse MSFLCT to fused lowpass and highpass subbands. Abundant experiments have been made on groups of multimodality datasets, both human visual and quantitative analysis show that the new strategy for attaining image fusion with satisfactory performance.

A New Type of Using Morphology Methods to Detect Blood Cancer Cells

In order to resolve the problem of recognizing blood cancer cells accurately and effectively, an identifying and classifying algorithm was proposed using grey level and color space. After image processing, blood cells images were gained by using denoising, smoothness, image erosion and so on. After that, we use granularity analysis method and morphology to recognize the blood cells. And then, calculate four characterizes of each cell, which is, area, roundness, rectangle factor and elongation, to analysis the cells. Moreover, we also applied the chromatic features to recognize the blood cancer cells. The algorithm was testified in many clinical collected cases of blood cells images. The results proved that the algorithm was valid and efficient in recognizing blood cancer cells and had relatively high accurate rates on identification and classification.

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 Proposal of High-Performance Method for Distance Measuring Sensor United with PSD

In this study, we propose a sensor system to improve the performance of distance measurement using multiple paralleled position sensitive detector (PSD) sensors. The PSD sensor uses a light emitted diode (LED) to illuminate an object and measures the distance to the object by the position on the PSD of the gathered light from the object. The proposed sensor system uses two symmetrically paralleled PSD sensors to increase the measuring distance extent and accuracy. Experimental results showed that the proposed PSD sensor system has an enlarged measuring extent, and has a measuring accuracy better than or equal to the conventional one.

Ground material distinction method using reflection intensities obtained by ultrasonic sensor

In this research, we propose a method to distinguish different ground materials using the reflection intensities of the waves obtained by ultrasonic sensor. In previous research, the information obtained by ultrasonic sensor is only used for checking the existence of an object, and/or measuring the distance from an existent object. To go a step further, applying the information obtained by ultrasonic sensor, we designed a method to distinguish different ground materials according to different reflection intensities. Based on the method, a group of experiments have been implemented for distinguishing seven different ground materials in this research. According to the results of the experiments, it can be stated that different ground materials can be classified according to the particular reflection intensities. Furthermore, we can also use the particular reflection intensities for recognizing the roughness of different grounds in order to alert in dangerous situations.