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Advances on underwater optical imaging has been rampant recently because of numerous applications it offers and the increasing use of underwater vehicles. Unfortunately, due to the inherent property of light in water, images tend to be hazy, have non-uniform illumination and colors get distorted. Retinex algorithms were formulated for dynamic range compression and tonal rendition to fix the illumination...
this work considers the algorithm of mobile robot recognition and localization on the basis of color patterns, applied in robosoccer. For exact position definition of mobile robots and a ball in robosoccer it is necessary to analyze the image received from camera. Whereas each of these objects on the image has the color pattern consisting of circles, the first step of algorithm is detecting of circles...
This paper presents a dynamic thresholding algorithm for robotic apple detection. The algorithm enables robust detection in highly variable lighting conditions. The image is dynamically split into variable sized regions, where each region has approximately homogeneous lighting conditions. Nine thresholds were selected so as to accommodate three different illumination levels for three different dimensions...
Images captured in hazy or foggy weather conditions can be seriously degraded by scattering of atmospheric particles, which reduces the contrast, changes the color, and makes the object features difficult to identify by human vision and by some outdoor computer vision systems. Therefore image dehazing is an important issue and has been widely researched in the field of computer vision. The role of...
Image enhancement is widely used and approved in the field of business, education and academia. As one classic model of enhancement, Retinex theory based model can obtain high-quality results in most cases. However, it is difficult for Retinex theory based model to deal with the problem of color distortion and halo artifacts. Aiming at the problem above, we proposed one multi-scale MSRCP algorithm...
Illumination compensation is a typical way for increasing the performance of image processing. Retinex algorithm compensates illumination work properly, however, it cannot deal with color constancy of images appropriately. This paper proposes a novel illumination compensation method by converting the image from RGB color space to HSI color space, and with I component enhanced by Retinex algorithm...
An important factor when realizing image capture using electronic means (photographic or video camera), is the lighting source type present at the capture moment. If the lighting is deficient, the information present in the image is hidden for the Human Vision System (HVS), such that the color and detail characteristics introduce values with low luminance. As a solution for this lighting problem,...
In this work, a low memory and non-parametric based background subtraction algorithm (LMBS) is proposed by modeling the background model with a set of pixels. Instead of keeping a N-sized memory for each pixel model, a k-sized sample buffer is assigned to each pixel, and the background is modeled by 3×3×k neighborhood pixel values, which means the background model also contains space information....
The main objective of this paper is to propose a method for localized image enhancement. This method can be highly beneficial in medical purposes, like Laminography, or in enhancing images captured under non-uniform illumination. Along with a depth map, a spatial queue-based data structure is used to properly locate the area to be enhanced in the captured scene. There are automated techniques to detect...
This article consists of a collection of slides from the author's conference presentation on the special features, system design and architectures, processing capabilities, and targeted markets for SiliconArts' RayChip, the world's first commercialized chip targeted to realize real-time ray tracing for embedded applications such as TV, media box and game console.
This paper proposes a multi-camera system approach to real-time colour segmentation using a cascade of AdaBoost colour classifiers with error-correcting codes (AdaBoost ECC) trained on arbitrary low-dynamic range cameras. As compared to traditional High-Dynamic Range systems that require the consolidation of multiple low-dynamic range (LDR) images to produce a single HDR image or a single tone mapped...
We address the problem of accurate and efficient alignment of 3D point clouds captured by an RGB-D (Kinect-style) camera from different viewpoints. Our approach introduces a new cost function for the iterative closest point (ICP) algorithm that balances the significance of structural and photometric features with dynamically adjusted weights to improve the error minimization process. We also enhance...
Background subtraction is an essential technique for automatic video analysis. The main idea is to construct and update the model of the background scene. Foreground pixels are detected if they deviate from the background model to a certain extent. The model can consist of color, texture and gradient information [1]. In this paper, we focus on both color and texture information. The proposed texture...
Existing high dynamic range(HDR) imaging acquisition techniques are limited to the skill of the end user and offline. We propose an algorithm to detect HDR scene and suggest optimal exposure sets for a given scene.
Identifying moving vehicles is a critical task for an urban traffic monitoring system. With static cameras, background subtraction techniques are commonly used to separate foreground moving objects from background at the pixel level. Gaussian mixture model is commonly used for background modelling. Most background modelling techniques use a single leaning rate of adaptation which is inadequate for...
Camshift is an effective algorithm for real time dynamic target tracking applications, which only uses color features and is sensitive to illumination and some other environment factors. When similar color existing in the background, traditional Camshift algorithm may fail, that is the target getting lost. To solve the problem, an improved Camshift algorithm is firstly proposed in this paper to reduce...
In order to improve the segmentation accuracy, reduce under-segmentation and over-segmentation, this paper proposes a new algorithm for detecting moving objects. The method is based on background subtraction algorithm and integrated with fuzzy inference for thresholding and background update. We use 7 fuzzy rules which can effectively model the membership of a pixel in a moving object during the fuzzy...
This paper proposes a method for background modeling and foreground detection in video. This method divides the background into two layers, the dynamic layer and the static layer. An energy descriptor is proposed to analysis the motion state in dynamic layer while a grid filter is proposed to reduce the negative impact of sudden illumination change such as light switching off. Experiment results compared...
In this paper a new stereo vision method is presented that combines the use of a lightness-invariant pixel dissimilarity measure within a dynamic programming depth estimation framework. This method uses concepts such as the proper projection of the HSL colorspace for lightness tolerance, as well as the Gestalt-based adaptive support weight aggregation and a dynamic programming optimization scheme...
This paper presents a real-time background subtraction method which handles illumination changes and dynamic backgrounds such as flapping flags and waving trees. Previous approaches based on Gaussian mixture models usually generates models pixelwise, which makes it difficult to operate in realtime due to computational complexity. Moreover, pixelwise models tend to fail in sudden illumination changes...
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