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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...
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,...
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature. This paper is concerned with the detection and correction of the offset between the intersection and origin. First, we analyze the reason for forming that offset via an optical imaging model. Second,...
Assessment of aging civil infrastructure should be done periodically to getting information about the structural condition. In context to it, classification, detection, and localization of cracks within these concrete structures is of paramount importance. The most commonly used procedure, i.e. visual inspection, is executed manually by human inspectors, and thus, its accuracy depends on personnel's...
In the field of Image processing, to be more specific new technologies are emerging in the domain of segmentation. This is because the new change that has taken place in computer processing application using color images hence color image segmentation is a kind of interest for the recent researchers. In image segmentation, color space plays a vital role. Different types of color space are RGB, HSV,...
In this paper, we propose a computer vision system that detects the external defects of orange citrus fruits using multi-spectral imaging sensor. First, the proposed algorithm segments the orange fruit from the captured Near-Infra Red (NIR) and RGB images using only the NIR component. Second, some adaptive pre-processing techniques are applied on the segmented RGB and NIR orange fruit images. Hence,...
Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. In this research paper, we provide an approach to detect various kinds of these diseases. We use a dual stage approach which effectively combines Computer Vision and Machine Learning on clinically evaluated histopathological...
Quality of food and agricultural products is vital for farmers and consumers. Quality based classification of these products is being carried out manually in the industry which is tedious and expensive. Computer Vision systems can be used to automate the classification process. Automation can reduce the production cost and improve the overall quality. A computer vision system captures the image of...
Plant seeds can be preserved for a long time. Long-term storage of seeds is very important for the continuity of life. Seed storage time heavily depends on plant species, seed maturation degree, preliminary processing, seed germination value and the moisture content. Environmental conditions such as temperature of the storage place, humidity, and light, or infestation of parasitic living beings; insects...
The paper proposes a mobile application for clothing coordination, which could be of great benefit for stores and people seek for fashion advices. The application matches apparel image input with, previously saved apparel images, and then provides the user with the possible matching suggestions based on the apparel outline and dominating colors. For this purpose two Region of Interest (ROI) extraction...
This paper presents a general algorithm to track the line on the ground based on computer vision, which utilizes Raspberry Pi 2 to complete the image processing. The algorithm accomplishes image processing firstly, then recognizes the line by edge detection and scanning model. The proposed algorithm can be used in a variety of platforms including intelligent car system, robot platform, UAV platform...
In this paper an unsupervised colour image segmentation algorithm is presented. This method combines the advantages of the approaches based on split&merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions,...
A system to detect macfouling and microfouling on the ship hull is always challenging. The proposed system uses computer vision to analyze types and amount of fouling on the hull for subsequent analysis. The graphical-user-interface in a mobile microprocessor can be accessed and remotely controlled using platforms such as Windows and Android phone. Experiments have been tested on 40 different fouling...
Object detection is a well-researched technology related to computer vision(CV) and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. It has got some real-world applications such as smart-home automation, etc. Detection of a particular object by the computer's camera is an important aspect...
This paper presents a system for automated classification of rice variety for rice seed production using computer vision and image processing techniques. Rice seeds of different varieties are visually very similar in color, shape and texture that make the classification of rice seed varieties at high accuracy challenging. We investigated various feature extraction techniques for efficient rice seed...
Quality checking is a major aspect in production. Fatigue and boredom are major parameters of human involved operating which causes for efficiency and productivity. Therefore Biscuit manufacturing industries have to overcome these situations throughout finding novel ways and methods for their human involved quality inspection systems. This paper proposes a computer vision based quality checking system...
A computer machine vision system that can be used for automatic high-speed fruit sorting and grading is proposed. The objective of the project is to develop the advanced quality control inspection system makes use of distributed network architecture to interface the camera unit to a computer system through GigE LAN environment in a flexible way. The development work activity involves in dynamic capturing...
This paper presents a new method to track and count vehicles in video traffic sequences. The proposed method uses image processing, particle filtering, and motion coherence to group particles in videos, forming convex shapes that are analyzed for potential vehicles. This analysis takes into consideration the convex shape of the objects and background information to merge or split the groupings. After...
With rapid advancement in technology, numerous applications are required, such as for face and gesture recognition. However, various methods previous researchers have developed and presented suffer from limitations. Therefore, this study proposes an FPGA-based gesture recognition system by rewriting the largest computational complexity of optical flow to perform parallel processing architecture, and...
The paper proposes a novel method for estimating the optical flows from the sequentially captured images with using their own color information. The gradient method is well known as one of the conventional methods to estimate the flows, and then the spatial and temporal derivative of the images are used in the method. Since the color images have richer information than the monochrome ones, they should...
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