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The image segmentation is an important using in the computer image processing. This paper proposed a new method: the color components' exchanging on the different color spaces. Based the method and combine with other traditional image segmentation methods, try to use in the image segmentation, and get some results.
In order to overcome the poor anti-noise performance of traditional fuzzy C-Means (FCM) algorithm in image segmentation, a novel improved FCM algorithm was proposed in this paper based on Particle Swarm Optimization (PSO) algorithm and Markov Random Field (MRF) model, which can make full use of the global searching ability of PSO and the spatial information integrating ability of MRF for image segmentation...
The discerning person usually can not read Braille information without training, then many parents have difficulty educating their blind or visually impaired children. Teachers engaged in special education have to depend on Braille translator when marking Braille papers or assignments, so subjective factors are brought into the evaluation process. This paper describes a new system that recognizes...
This Clud computing is the “post-PC” product of the times, and are profoundly affecting computer vision science. Using of clud computing method can achieve accurate detection of objects moving target location, thus fulfilling the object of physical space and information space integration. Based on the binocular visual motion detection algorithm is proposed. Using multiple cameras for eyes can deal...
Machine vision-based PCB defect inspection system is designed to meet high speed and high precision requirement in PCB manufacture industry field, which is the combination of software and hardware. This paper firstly introduced the whole system structure and the principle of vision detection, while described the relevant key technologies used during the PCB defect inspection, finally implemented one...
Chalk degree is one of the most important indicators for judgment of rice quality. In order to quickly and objectively and accurately detect rice chalkiness, the purpose of this article is for the practical application. Firstly, the rice has been extracted from background with optimal threshold, then, after the optimal threshold of extracting chalk has been defined through contrast-ribbon approximating...
Optical character recognition (OCR) is a traditional task in image processing and pattern recognition. In recent years, some new technologies of character recognition have emerged, which greatly improved the effect of OCR. As the foundation of the task of character recognition, whether the characters can be split accurately is the key point. Many researchers have done a lot of work in the car license...
Based on the linear spaces spanned respectively by the functions {1, x, x2, x3, x4, x5}, {1,x, x2, x3, esx, e−sx} and {1, x, x2, x3, eisx, e−isx}, a non-stationary two order Hermite interpolatory subdivision scheme with one parameter is constructed for the given function values and the first and second order derivatives at two sequential points. Also, the convergence, C2 continuity and geometric properties...
Based on closed-contour tracking, a real-time approach for the display region segmentation from a computer screen image is presented in this paper. This approach provides a significant preprocessing step while computer vision is perceiving digital-world information through a computer screen. To segment the display region, a closed contour between the screen frame and display region should be found...
This paper expatiates on the improved fuzzy c-means (FCM) clustering algorithm. In the algorithm, the membership values are determined via the improved method, and the number of the centers of FCM clustering are determined via the number of the peaks of the two-dimensional histogram on the gray-level values of pixels and gradient values of pixel neighborhoods. The application to segmentation of a...
In this paper, a novel method which has been developed for preliminary optimal general route location is presented. The developed method has two main stages. In first stage, an initial set of proposed route locations are optimized individually using active contours (Snakes) algorithm based on satellite image grey level values. Afterwards, in the second stage, the resulting alternative optimal route...
Object Placement Relation (OPR) is the set of properties with classified relations between two connected objects. OPR has been used to predict depth level and locate position of object in 3-D scene. However, since the OPR does not identify the relation of each object to overall scene, it lacks consistency when applied to complex 3-D scenes. The results show distortion and unsmoothness. This research...
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft...
Image segmentation is one of the most important research areas in image processing and computer vision, and is a key step in image processing and image analysis. This paper introduces medium mathematics system which is employed to process fuzzy information for image segmentation. Based on the measure of medium truth degree, this paper presents a novel image segmentation method by introducing the distance...
This paper presents a new method for extracting point cloud of useful main surface from 3D point cloud of an existing product or part. The 3D point cloud is sliced into 2D point cloud at different slices. For each slice, gradient vector flow (GVF) is generated. An active contour or snake is applied to capture the point cloud belonging to main surface. Points belonging to mini-structures or mini-features...
In this paper we present a micro-Doppler (mD) system and a computationally efficient classifier for the purpose of distinguishing different means of transport for human beings (pedestrians, inline skaters and cyclists) based on their mD time-frequency signatures. Accuracies as high as 97% are obtained while keeping the overall computational cost low.
We describe a technique for segmenting individual prostatic glands in hematoxylin-and-eosin stained prostatic tissue images. The method begins with image artifact correction, then segments the image into four tissue components using principal component analysis and k-means clustering, and finally identifies glands using a region-growing algorithm. We calculated the average gland size to distinguish...
The aim of the litchi stem extraction based on computer vision is to provide the basic image for the position of litchi plucking point. In this paper, the litchi stem extraction was studied by comparing various color models and combining with the cluster segmentation algorithm under natural scene. For the complex natural scene, three steps were taken to finish the litchi stem extraction. Firstly,...
Wheat ear characteristic parameters are important parameters for breeding and investigation of new wheat variety and could be used to estimate yield. To realize non contact and accurate measurements of characteristic parameters of wheat ear, a computer vision measurement method based on mathematical morphology was proposed. The 5 ear traits, namely ear length spike shape, kernel top, spikelet number...
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