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Production of high quality wheat has a great importance especially in the solution of nutrition problems. It is necessary to make decomposition for specifying the quality. Here, high quality and unclassified wheat recognition are realized. The most distinctive feature between high quality and poor quality wheat is the shape difference. In this study, Bag of Contour Fragments (BCF) was used as a shape...
This conceptual paper examines the computer identification of signs called day markers that commonly appear for navigation purposes in a marine channel waterway. Most people are familiar with these signs when navigating in a boat as they appear either as red triangles, green rectangles or diamonds since they aid navigation through the channel. The paper focuses on a proposed classifier using Procrustes...
Finding a method which allows a computer recognition to be close to human recognition is a goal of many works in the present. We have set this goal too. According to us, we need to find function for simple recognition of shapes in the images as first step of this goal. Result of this method provides input of our system of recognition. System form depends on the result of shape recognition method....
This paper presents a sonification model to convert object tracking information into sound in real time. The goal is to generate a sound that describes the information given by a trajectory - such as position, direction, velocity and shape - to help visually impaired people to "see" the world: how can we describe to them a square like we do by drawing it in a sheet of paper? The usage can...
Vehicle classification system is an important part of intelligent transportation system (ITS), which can provide us the necessary information for autonomous navigation, toll systems, surveillance and security systems, and transport planning. In this paper, we introduce a vehicle classification system based on dynamic Bayesian network (DBN). Three main types of features are employed in our system:...
In Bangla alphabet, most of the characters share same features and such similarity misleads a recognizer as it makes decision based on measures of absolute difference. A preprocessing step called ‘scrambling’ and modification of existing grouping scheme are proposed to decrease the inter-character similarity among Bangla characters. The theory behind this proposal is originally inspired by experiments...
In this paper, we present a non-symmetry and anti-packing object pattern representation model (NAM). The NAM model codes the geometry of generic object categories as a hierarchy of sub-patterns and each sub-pattern is represented by a rich set of image cues. The sub-pattern-based NAM model is designed to decouple variations due to affine warps and other forms of shape deformations. The combination...
The common imperfect line drawing has both missed lines and needless lines. Some common odd-shaped junctions and the methods about how to manage them are listed in this paper. A detailed discussion on the process of line drawing labeling and deleting is given with examples. Finally, the imperfect line drawing is transformed into a proper line drawing.
Chinese gooseberry manual classification exists fault of time-consuming, arduous, costly, less effective etc, but computer vision technology has advantage of high speed, large information content, high precision etc. This paper describes the detection of Chinese gooseberry's characteristics such as color, shape, size based on computer vision, and then to carry out stage treatment, improves the work...
Computer vision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. The ability to recognize shapes in images is often necessary in computer vision programs. This article describes how to make a program able to recognize basic geometrical figures by using machine learning. This article shows the image processing...
In many situations, we have to read characters on the object we are inspecting. Typically, the character text is horizontal, in this case, we can recognize the character easily, and the recognition methods are very mature. But, sometimes the characters distribute on the circle or ellipse, and the characters are distortion, which bring us huge trouble to recognize. This paper main about how to read...
With the promotion of digital manufacturing, people have higher requirements on the detection system of Intellectualization, Flexibility, and so on. In the mechanical parts processing, people often encountered precision work for deep hole long keyway. Because the uses of different locate mode and attrition of cutting tool, it brings a greater influence to the key slot processing precision. This article...
Ear Rows is an important agricultural character in Maize (Zea mays L.). In order to exam feasibility of ear rows counting method by machine vision, a new method was raised. This method is based on edge marker and discrete curvature. 78 digital images of 4 maize cultivars were scanned from 2 sides if maize fragment face. Based on this, we find that that the number is mostly 12-18, and the detecting...
Studies concerning how the brain might represent objects by means of a perceptual space have primarily focused on the visual domain. Here we want to show that the haptic modality can equally well recover the underlying structure of a physical object space, forming a perceptual space that is highly congruent to the visual perceptual space. By varying three shape parameters a physical shape space of...
Microscopic size wear debris transported through oil-lubricated systems provides important information about the condition of machinery, in particular the state of wear. Experts extract this information to monitor the operation of the machine to ensure safety, efficiency and economy of operation. This paper describes the analysis of microscopic particles generated by wear mechanisms by using computer...
This paper presents a system to monitor the wear process in machines using computer vision and image processing techniques applied to wear particle analysis. Particles are classified using their visual attributes to predict wear failure modes in engines and other machinery. The aim of the current work is to develop an automated system to classify wear particles and thereby predict wear failure modes...
Estimation of discrete curvature is a challenging problem, since a mere replacement of functional derivatives by numerical differences fails to produce the desired result. Several algorithms have been proposed so far, which are mostly based on the concepts of real geometry and hence are computationally expensive. The existing measure of k-curvature, though easy to compute, is crippled with some unwanted...
Describing local patches to register image keypoints is an important task for building a huge database from video frames. When searching for an efficient descriptor, task is twofold: features must describe the featuring patches at a high efficiency, while the dimensionality should be kept at a manageable low value. The main assumption in finding local descriptors is the defect of continuity in the...
In view of the complex background in the weed detection, the research used the H component under HSI the color model to divide the soil background. Considered the real-time operation, it used the automatic threshold value segmentation method, and carried on the suitable erosion and dilation, realized the weed area and the background area segmentation. The result indicated that it was possible of using...
A picture is worth a thousand words. Yes, but which ones? Content-based image retrieval (CBIR) is the application of computer vision to the image retrieval problem. The image retrieval problem is the problem of searching for digital images in large databases. ldquoContent-basedrdquo means that the search will analyze the actual content of the image. The term dasiacontentpsila in this context might...
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