Input of Japanese Characters by Recognizing the Number of Fingers

2004 ◽  
Vol 16 (4) ◽  
pp. 420-425
Author(s):  
Takashi Yamagishi ◽  
◽  
Kazunori Umeda ◽  
Keyword(s):  
Image Processing ◽  
Input Data ◽  
Image Sensor ◽  
Experimental Results ◽  
Range Image ◽  
Range Images ◽  
Image Information ◽  
Human Gestures

Many recent studies centered on recognizing human gestures using images for man-machine interfaces do not deal with information on Japanese or other characters. We propose inputting Japanese characters by recognizing the number of fingers of one hand. Recognized numbers are converted to characters using the “pocket-bell” rule. The number is recognized by image processing. Range images are used as image information to implement the method. We also discuss how to control recognition timing and canceling input data. Experimental results using a range image sensor show the effectiveness of the proposed methods.

A Range Finder System with Electronically Maskable Photo Detecting Device Array

2003 ◽  
Vol 15 (3) ◽  
pp. 322-330 ◽  
Author(s):  
Jun Masaki ◽  
◽  
Nobuhiro Okada ◽  
Eiji Kondo
Keyword(s):  
Projection Method ◽  
Image Plane ◽  
Experimental Results ◽  
Diode Array ◽  
Range Image ◽  
Range Finder ◽  
Range Images ◽  
Cost Performance ◽  
Photo Diode ◽  
Ray Projection

A range finder realizable with an easy circuit composition is proposed. The range finder is based on the slit-ray projection method. In the system, positions of slit-ray images on an image plane are detected by using pattern masks electronically provided to the image plane. Due to using the electronic pattern masks, the range finder realizes high cost performance, highspeed measurement and small size. In order to estimate measurement speed, a prototype circuit has been developed. The experimental results obtained by the circuit have indicated that the range finder will be able to take a range image of which resolution is 64 × 64 and more in 1/30[s] or less in the future. A prototype range finder which has a 32 × 32 photo diode array and a laser slit marker has been also developed, and range images have been actually taken using it. In this paper, with emphasis on indicating the availability of the proposed method, the range finder system and experimental results by the prototype circuit and the prototype range finder will be shown.

scholarly journals Ambient Light Rejection Integrated Circuit for Autonomous Adaptation on a Sub-retinal Prosthetic System

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5638
Author(s):  
Hosung Kang ◽  
Hojong Choi ◽  
Jungsuk Kim
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Image Sensor ◽  
Experimental Results ◽  
Image Processing Technique ◽  
Cmos Process ◽  
Processing Unit ◽  
Ambient Light ◽  
Retinal Implants ◽  
Autonomous Adaptation

This paper introduces an ambient light rejection (ALR) circuit for the autonomous adaptation of a subretinal implant system. The sub-retinal implants, located beneath a bipolar cell layer, are known to have a significant advantage in spatial resolution by integrating more than a thousand pixels, compared to epi-retinal implants. However, challenges remain regarding current dispersion in high-density retinal implants, and ambient light induces pixel saturation. Thus, the technical issues of ambient light associated with a conventional image processing technique, which lead to high power consumption and area occupation, are still unresolved. Thus, it is necessary to develop a novel image-processing unit to handle ambient light, considering constraints related to power and area. In this paper, we present an ALR circuit as an image-processing unit for sub-retinal implants. We first introduced an ALR algorithm to reduce the ambient light in conventional retinal implants; next, we implemented the ALR algorithm as an application-specific integrated chip (ASIC). The ALR circuit was fabricated using a standard 0.35-μm CMOS process along with an image-sensor-based stimulator, a sensor pixel, and digital blocks. As experimental results, the ALR circuit occupies an area of 190 µm2, consumes a power of 3.2 mW and shows a maximum response time of 1.6 sec at a light intensity of 20,000 lux. The proposed ALR circuit also has a pixel loss rate of 0.3%. The experimental results show that the ALR circuit leads to a sensor pixel (SP) being autonomously adjusted, depending on the light intensity.

COIFLET BASED METHODS FOR RANGE IMAGE PROCESSING

2007 ◽  
Vol 07 (02) ◽  
pp. 321-351
Author(s):  
M. DJEBALI ◽  
M. MELKEMI ◽  
K. MELKEMI ◽  
N. SAPIDIS
Keyword(s):  
Image Processing ◽  
Reconstruction Algorithm ◽  
Geometrical Model ◽  
Range Data ◽  
Range Image ◽  
Range Images ◽  
3D Objects ◽  
Industry Applications ◽  
Cad Cam ◽  
Range Image Processing

In industry applications, the range images are generally huge points arrays and are additively noised. They usually represent surfaces of 3D objects and are used for reverse engineering process in CAD/CAM domains. To compute the geometrical model of each surface present in the range image, we denoise and sub-sample the raw range data. Denoising allows us to avoid the adverse effects of the noise on the obtained result. Sub-sampling the raw range data leads to a low image processing overheads like those of segmentation process. Based on interpolation properties of particular wavelets named coiflets, we propose a method for smoothing noisy range images. The smoothed image keeps invariant the "topological characteristics" of the represented surfaces. Thereafter, we propose a method for sub-sampling dense range images which leads to the reduction of the amount of raw data by a factor of four. This method eliminates the "redundant" information, thus the obtained result describes the essential details (as the shape of the physical surface) of the initial range image. The smoothing and sub-sampling methods are designed to be easily integrated in any reconstruction algorithm to improve its result and reduce its overhead in spite of its high complexity.

Detection for Position of Suspended Transparent Film in the Water

2011 ◽  
Vol 217-218 ◽  
pp. 9-15
Author(s):  
Zu Rong Qiu ◽  
Rui Cao
Keyword(s):  
Image Processing ◽  
Light Source ◽  
Measurement System ◽  
Image Sensor ◽  
Processing Method ◽  
Contour Detection ◽  
Transparent Film ◽  
Image Information ◽  
The Difference ◽  
Technical Basis

Considering the measurement system for the suspended position of the transparent film in the water, an image processing method based on watershed transform for contour detection has been proposed. The difference between the film and water has been researched by obtaining the image information through the image sensor under special light source. An algorithm of watershed which uses minima imposition to solve the problem of over segmentation for the detection is applied. Depending upon the improved algorithm, which aims to obtain the contour of the film, the target areas in the image integrate together. The result of the position is gained by the image processing technology, which provides the technical basis for automatic operation of catching film in the water.

Developing an Inkjet Printer I: RGB Image to CMY Ink Amounts - Image Processing and Color Management

2020 ◽  
Vol 2020 (15) ◽  
pp. 350-1-350-10
Author(s):  
Yin Wang ◽  
Baekdu Choi ◽  
Davi He ◽  
Zillion Lin ◽  
George Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Experimental Results ◽  
Color Management ◽  
Finger Nail ◽  
Inkjet Printer ◽  
Rgb Image ◽  
Novel Algorithm

In this paper, we will introduce a novel low-cost, small size, portable nail printer. The usage of this system is to print any desired pattern on a finger nail in just a few minutes. The detailed pre-processing procedures will be described in this paper. These include image processing to find the correct printing zone, and color management to match the patterns’ color. In each phase, a novel algorithm will be introduced to refine the result. The paper will state the mathematical principles behind each phase, and show the experimental results, which illustrate the algorithms’ capabilities to handle the task.

scholarly journals OFCOD: On the Fly Clustering Based Outlier Detection Framework

Data ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Ahmed Elmogy ◽  
Hamada Rizk ◽  
Amany M. Sarhan
Keyword(s):  
Data Mining ◽  
Image Processing ◽  
Intrusion Detection ◽  
Real Time ◽  
Outlier Detection ◽  
Real World ◽  
Medical Data ◽  
Experimental Results ◽  
Real Time Applications ◽  
Real World Datasets

In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches have been developed to detect outliers. However they are by nature time consuming which restrict their utilization with real-time applications. Furthermore, outlier detection requests are handled one at a time, which means that each request is initiated individually with a particular set of parameters. In this paper, the first clustering based outlier detection framework, (On the Fly Clustering Based Outlier Detection (OFCOD)) is presented. OFCOD enables analysts to effectively find out outliers on time with request even within huge datasets. The proposed framework has been tested and evaluated using two real world datasets with different features and applications; one with 699 records, and another with five millions records. The experimental results show that the performance of the proposed framework outperforms other existing approaches while considering several evaluation metrics.

scholarly journals Rotation Estimation: A Closed-Form Solution Using Spherical Moments

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4958
Author(s):  
Hicham Hadj-Abdelkader ◽  
Omar Tahri ◽  
Houssem-Eddine Benseddik
Keyword(s):  
Image Processing ◽  
Closed Form ◽  
Synthetic Data ◽  
Closed Form Solution ◽  
Form Solution ◽  
Unified Model ◽  
Experimental Results ◽  
Motion Information ◽  
Vision Sensors ◽  
Spherical Projection

Photometric moments are global descriptors of an image that can be used to recover motion information. This paper uses spherical photometric moments for a closed form estimation of 3D rotations from images. Since the used descriptors are global and not of the geometrical kind, they allow to avoid image processing as features extraction, matching, and tracking. The proposed scheme based on spherical projection can be used for the different vision sensors obeying the central unified model: conventional, fisheye, and catadioptric. Experimental results using both synthetic data and real images in different scenarios are provided to show the efficiency of the proposed method.

Application of Face Detection Technology in Automatic Sweep Robot

2013 ◽  
Vol 416-417 ◽  
pp. 1355-1359
Author(s):  
Gu Xiong Li ◽  
Kai Huang
Keyword(s):  
Face Detection ◽  
Image Sensor ◽  
Experimental Results ◽  
Work Efficiency ◽  
Running Speed ◽  
Good Outcome ◽  
Detection Technology

One being developed automatic sweep robot, need to estimate if anyone is on a certain range of road ahead then automatically adjust running speed, in order to ensure work efficiency and operation safety. This paper proposed a method using face detection to predict the data of image sensor. The experimental results show that, the proposed algorithm is practical and reliable, and good outcome have been achieved in the application of instruction robot.

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