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The authors have been working on support of coastal fishing utilizing ICT since 2004. We have realized two visualizations for the sustainable fishery until now. One is visualization of resources for capture fishing using digital diary and the other is visualization of environment for culture fishing using small buoys. In this paper, we propose the visualization of technology for octopus drift fishing...
This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using...
This work presents images encoding and decoding using the theory of conformal mapping. The conformal mapping theory made changes in the domain of problems without modifying physical characteristics between the domains. Images were utilized and are transported between domains using transformation functions like encrypt keys. Developed method showed to be able to preserve original images characteristics...
The popularity of applications using Augmented Reality, especially due to the dissemination of smartphones with high processing power, introduces the need for Fiducial Markers that can be detected quickly, with good accuracy and can deal with partial occlusion. Fiducial Markers can have different shapes, sizes, structure and colors, and are inserted into a scene to facilitate the detection and consequent...
The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes,...
The problem of automation of the product traceability processes within the technological process has now become of major importance. The most common traceability method is based on optical identification implemented by various markings application to the product surface. Such markings can contain a wide variety of information that allows one to determine the parameters of the raw materials, the manufacturer,...
The traditional transformer respirator lacks the detection means, cannot realize the long-distance monitoring, and must carry on the regular inspection through the running staff to determine its state. This paper introduces a method of automatic detection of transformer respirator based on image processing with the aid of the intelligent inspection robot on-site shooting, returning the transformer...
The quality control of cherries harvested in the orchard is a process of great relevance for the Chilean export industry. Nowadays companies carry out this process manually, obtaining a high error rate in the measurements of color and caliber of the fruits. This article seeks to develop a system to automate this process and thus reduce measurement failures. For this, an information system was implemented...
An improved real-time method for smoke detection based on motion and color analysis is presented. Smoke detection in video surveillance is very important for early fire detection. In general, it is assumed that smoke is a low frequency signal, which may smooth the background. However, these conditions can be met by some pure-color objects, and smoke also produces high frequency signal on the edges...
In this paper, we suggest methods of automated screening system for cervical cancer to support cyto-pathologists because there is the lack of number of pathologists. It is important to extract nuclei accurately for the automatic diagnosis supporting system. Cells firstly need to be divided into the blue cells and red ones because cells are dyed in different colors based on type of cell: superficial,...
Gesture represents a non-verbal means of communication between people. It comes from poses or movements performed by the human body. Nowadays, hand gestures are the new modality for human and computer interaction. In real-time applications based on hand gestures, the main challenge is to detect the hand(s). In this paper, we present and analyze existing approaches for real-time hand detection. Then,...
Machine vision systems are used in industrial production areas to produce products with fast, perfect and high precision. These systems allow users to make highly accurate and non-contact measurements and can detect deficiencies in the production process. In this work, a machine vision based non-contact defect detection algorithm for printed circuit boards (PCBs) has been developed. In this approach,...
Hammering test is widely used as a non-destructive testing method for concrete structures. In hammering test, it is important for reducing human's burden and time-consumption because there are large and a lot of concrete surfaces which should be inspected. This paper introduces a novel approach to support hammering test effectively b y displaying the diagnostic results immediately on the concrete...
A key issue in fruit export is classification and sorting for marketing. In this work image processing techniques are used to grad Thompson orange fruit. For this purpose, fourteen parameters were extracted, comprising area, eccentricity, perimeter, length/area, blue value, green value, red value, width, contrast, texture, width/area, width/length, roughness, and length. Adaptive neuro fuzzy inference...
Vehicle taillights detection is an important topic in collision avoidance and in the field of autonomous vehicles. Analyzing the behavior of the front vehicle can prevent possible accidents. In this paper, a method for detecting vehicle taillights is presented. First, the system detects vehicles and then searches for candidate taillight pairs inside the obtained vehicles. Two methods for detecting...
We make an effect evaluation method of bum treatment based on image processing for quantitative evaluation of the treatment progress. We first converted the color space of image from RGB color space to L∗a∗b∗ color space and divided image using SLIC Super pixel algorithm. Subsequently, we separate a transplanted skin and burned skin using support vector machine (SVM). As a result, in our proposed...
Cucumber downy mildew is a kind of disease which spreads very fast and isdangerous, in order to prevent the disease, peoplealways spray plenty of pesticides indiscriminately. Accurate assessment of the level of cucumber downy mildew is very important to the disease prevention and control. In a cucumber growing season, this paper collected the typical cucumber downy mildew leaf samples, and developed...
We studied the problem of classifying textured-materials from their single-imaged appearance, under general viewing and illumination conditions, using the theory of random matrices. To evaluate the performance of our algorithm, two distinct databases of images were used: The CUReT database and our database of colorectal polyp images collected from patients undergoing colon capsule endoscopy for early...
In recent years, automatic visual inspection technology has become more potential and important to fruit grading applications. This is due to that the quality of fruits are the important factor for the consumer and so essential for marketing a uniform high quality products. The automated fruits grading technique have been set up to reduce the production costs and improve fruit quality and replace...
Foot plantar pressure is the interface pressures between the foot surface and the supporting surface during daily activities. Pressure information provides valuable insight in gait and posture research for diagnosis diseases, footwear design, sport performance, injury prevention and other applications. In this paper, a dynamic foot plantar pressure measurement platform is proposed suitable for measuring...
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