Development of Single Camera Finger Touch Position Detection System

This research proposes a Single Camera Finger Touch Position Detection System. Image processing based single camera figure touch position detection approach has several significant advantages: (1) No sensing devices need to be instrumented on the surface of the touch screen. (2) Minimum sensor construction can reduce the failure rate to realize maintenance free system. (3) This approach enables an easy installation and a low-cost touch sensing. The problem of using a single camera is how to detect the touch action and the position of the finger from a single view image. In order to solve this problem, we use the reflected fingertip image appears on the back of the screen. Detecting the fingertip and the reflected image on the screen effectively, we enable to detect touch position only using single camera. In this paper, we provide concrete method, algorithm, implement details, and several experimental results

A method using the same light sensor for detecting multiple events near a window in crimes involving intrusion into a home

To combine robots with many sensor nodes on the sensor network is important for improving home security. To reduce the cost of such a system, it is desirable that each sensor node is very cheap and very small. The three events which occur to the window and the key when a thief attempts to intrude into a house are conventionally detected by different sensors. This article proposes a method of detecting all three events by using a simple light sensor consisting of an infrared LED and a photodetector. In the experiments, the light sensor shows the characteristic tendencies that can detect each event. This fact indicates that our proposal can realize one sensor node more efficiently than using different sensors.This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 201

Identify a Specified Fish species by the Co-occurrence and Confusion Matrix

Nowadays, invasive species threaten native species has become a global problem. Invasive species might be carrying pathogenic microorganisms, reduce biological species and even threat to human health. Therefore, in this study, we proposed a method of co-occurrence matrix to texture analysis of three species of fish. We catch the body pattern, and make a judgment based on confusion matrix. Simulation results show that three species of fish can be classified from each other reasonable.The 3rd International Conference on Industrial Application Engineering 2015, March 28-31, 2015, Kitakyushu International Conference Center, Kitakyushu, Japa

Study on Image Segmentation in CT Metal Artifacts

Computed Tomography (CT) is one of the most important means of medical diagnosis and the quality of CT image can be seriously affected by metal artifacts. How to use CT image segmentation to extract the focused region is a classical difficult problem in this research field. According to the principle of CT reconstruction, after the medical image segmentation, projection of the metal part by compensation can improve the image quality. This paper first introduces the causes of the metal artifacts as well as the principle of CT image reconstruction. Then，it mainly discusses the simple and iterative threshold segmentation to solve metal artifacts. Corresponding comparison shows that the proposed method in this study has better segmentation effect based on the experimental results. Finally, the prospect of medical image segmentation is predicted to indicate future research work.The 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014), September 26-29, 2014, Nishinippon Institute of Technology, Kitakyushu, Japa

Multi-scale Analysis based Image Fusion

Image fusion provides a better view than that provided by any of the individual source images. The aim of multi-scale analysis is to find a kind of optimal representation for high dimensional information expression. Based on the nonlinear approximation, the principle and ways of image fusion are studied, and its development, current and future challenges are reviewed in this paper.The 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014), September 26-29, 2014, Nishinippon Institute of Technology, Kitakyushu, Japa

Multi-scale Analysis based Image Fusion

The 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP2014), September 26-29, 2014, Nishinippon Institute of Technology, Kitakyushu, JapanImage fusion provides a better view than that provided by any of the individual source images. The aim of multi-scale analysis is to find a kind of optimal representation for high dimensional information expression. Based on the nonlinear approximation, the principle and ways of image fusion are studied, and its development, current and future challenges are reviewed in this paper

A numeric reading system for digital meter without I/O interface

Recently, measuring instruments that automatically record measurement values by using the communication function of PC and RS232C have been widely used. However, there are a lot of measuring instruments that cannot communicate with an external instrument at present. Also, the ones that have the communication function are very expensive. The system that reads the instruction value from the image is by taking a picture of the measuring instrument with a camera. However, because the specification of the target measuring instrument has been limited, versatility of this system is low. Therefore, this paper proposes a strong numerical recognition system that doesn\u27t depend on the model of a digital measuring instrument. The experiments showed that the proposed method has the characteristics of fast speed, efficiency and strong anti-interference

Contrast Enhancement for Images in Turbid Water

Absorption, scattering, and color distortion are three major degradation factors in underwater optical imaging. Light rays are absorbed while passing through water, and absorption rates depend on the wavelength of the light. Scattering is caused by large suspended particles, which are always observed in an underwater environment. Color distortion occurs because the attenuation ratio is inversely proportional to the wavelength of light when light passes through a unit length in water. Consequently, underwater images are dark, low contrast, and dominated by a bluish tone. In this paper, we propose a novel underwater imaging model that compensates for the attenuation discrepancy along the propagation path. In addition, we develop a robust color lines-based ambient light estimator and a locally adaptive filtering algorithm for enhancing underwater images in shallow oceans. Furthermore, we propose a spectral characteristic-based color correction algorithm to recover the distorted color. The enhanced images have a reasonable noise level after the illumination compensation in the dark regions, and demonstrate an improved global contrast by which the finest details and edges are enhanced significantly