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Digital image processing is widely used in the crack detection and location. In order to guide staff maintenance equipment more effectively and timely, the image detection system based on crack which has been put forward. On the basis of LabVIEW platform, Crack image in this system is acquired that using two industrial cameras, and then used the SIFT feature matching, RANSAC and image fusion to stitch...
A visual based autopilot for a fixed-wing unmanned aerial vehicle (UAV) is one of the powerful method to track a target object on sea or ground level using an image based visual servoing control. A feature of target object must always appear on image plane of camera to that by controlling pan-tilt gimbal movement. Aircraft attitude and pan-tilt gimbal can be used as a reference to drive the aircraft...
In this paper, we propose a component-based object detection method extended with the fuzzy inference technique. The proposed method detects constituent components of a complex object instead of a whole object in images. For component detection, multiple multi-class support vector machines (SVM) are used in parallel. Each SVM classifies the candidate component using a different low-level image feature...
Accurate and anti-noise detection of salient regions is a hotspot of remote sensing image analysis. In this paper, we introduce a new salient region detection model for residential areas in high-spatial-resolution remote sensing images, which is called Color Information Content model (CIC), applying color information content and outputting full resolution saliency maps. First, one-dimensional (1D)...
With the widespread availability of computers and mobile devices, we use them for daily communication by exchanging visual and verbal/non-verbal media. We obtain various information from multimedia devices, and such devices recently have a touch panel interface to allow a user to intuitively and interactively use them. A touch panel consists of a touch-sensitive panel and a graphical display, and...
This paper presents the experimental results obtained using two image quality assessment methods. The possibility of using these methods in the laser monitor autofocus system is studied. Based on mathematical algorithms the software for image brightness assessment has been developed in MatLab. The image sharpness for brightness amplifiers operating at different wavelengths is compared.
This paper describes an automated method for segmenting color images based on a modified stochastic region merging strategy with multi-scale spatial constraints. First, a bilateral decomposition is performed, and an over-segmentation process is then performed based multichannel information and multi-scale gradients. Next, each sub-region is represented using a normalized color histogram in the CIE...
In this paper, the model for a one-dimensional visual servoing system implemented in our laboratory is initially presented. The system setup is composed by a PUMA robot manipulator, a CCD camera rigidly mounted on the end-effector of the robot, and some image processing hardware. The aim of the system is to keep a desired relative position between the object and the camera, handling the autonomous...
We have illustrated the construction of matched Meyer wavelets for auditory and visual neural waveforms, and have demonstrated that MRAs using such wavelets achieve a physiologically natural decomposition of ERPs that can localize functionally meaningful clinical effects. Designer neural wavelets hold considerable potential for customizing neural signal and image processing for advanced clinical and...
In recent years, automatic visual inspection system has become useful tool in industrial process. The citrus fruit sorting and grading process has now been completely automated with the exception of the final stage of classification concerned with visual inspection. Due to the growing demand of quality citrus fruit, an automated and reliable identification and classification mechanism in order to...
In this paper, we use image processing techniques on the speech spectrogram to perform speech phoneme segmentation. The proposed method relies solely on visual cues on the spectrogram, without the need for language-specific training data. The results are evaluated on the TIMIT corpus, and compared to other unsupervised speech segmentation techniques, with comparable results obtained. We also fuse...
In this paper we propose an improved cut detection or shot detection algorithm adapted to any domain of movies with various result sets. Shot is actually the series of interrelated consecutive pictures or frames taken from a film or part of a film contiguously and representing a continuous action in time and space. Consecutive two different shots produce an important visual discontinuity in the video...
Considering the number of fatalities and serious injuries, there is a surprising dearth of human figure detection in the context of railway environment. Our proposed neuromorphic visual processing algorithm based on the biological vision system is an effective approach for making detection of human figures in the railway environment based on either stationary image sensor or mobile image sensor. The...
This paper describes method for detecting the problem of driver vigilance. Drivers with a low vigilance level suffer from a marked decline in their abilities of recognition the object in front of them, and vehicle control, and therefore pose serious danger to their own life and the lives of other people. With the increasing traffic conditions, this problem will further deteriorate. For this reason,...
Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene...
This paper proposes a performance test framework for vision based vehicle detection systems implemented on road-going vehicles. An extensive literature review outlines the evolution of test frameworks used by a number of recently published vehicle detection systems. The proposed test framework determines the effectiveness of a detection algorithm as a function of distance between the host and target...
An improved SPIHT algorithm that combines the SPIHT and the sub bands threshold calculation to reduce the number of comparison operations, without sacrificing the reconstructed image quality, is proposed. After applying discrete wavelet transform to the image, the threshold of each independent sub band is calculated. The scanning of the sets inside a sub band is determined by the magnitude of the...
Unmanned aerial systems (UAS) can be used nowadays for automatic visual inspection of power lines. Two challenging problems need to be solved: The detection of the power lines and the tracking of the lines. This paper presents a method for vision systems to extract power lines from cluttered natural backgrounds e.g. trees, cloudy skies. By means of range filters, some morphological operations, Canny...
This paper presents an overview of our project for measuring the ROM (range of motion) for upper limb in case of post stroke rehabilitation, that uses a simple and accessible method for any rehabilitation laboratory. The system is comprised of a wheelchair with an artificial upper limb that has a laser light source that is projected on a plexiglass special design table. The table has a modular position...
Edge preservation ratio (EPR) is a full-reference metric for objective image quality assessment (IQA). It is under the assumption that key messages to human visual systems are mainly from image structures, and these structures can be extracted by edge detection. EPR measure is twofold: accuracy and robustness, and a color map is synthesized to reveal structure changes before and after image processing...
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