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In this paper, we have implemented and tested a system of detection and recognition of road signs. The approach taken in this work consists of two main modules: a sensor module, which is based on color segmentation and shape detection where we converted the images to the HSV color space, then labeled the detected regions and tested for their shape. A recognition module, Template Matching, whose role...
Planar spoofing is a well researched problem, wherein a high quality planar photograph can be replayed in front of a still camera as a substitute for another individual's face. Most modern day face recognition systems can be fooled by this process, as the perceptual information contained in a photo-of-a-photo, is virtually the same as that of a natural photograph of an individual. Current solutions...
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...
Fast and accurate detection of human skin color is an important task in computer vision and image processing applications. Skin color detection algorithms are vital in medical application, especially in diagnosing skin diseases. This paper presents an approach for defining an explicit skin model by determining the optimal skin color regions in the selected color space. During the optimization, the...
Computer vision-based image analysis is one of the most widely used food quality tool in food industry. It allows to perform the non-contact and low-cost measurements of inspected object's surface and color. The aim of investigation presented in this paper is to propose an effective algorithm for background subtraction on multi-spectral images. Paper presents the application of multi-spectral image...
Light-emitting diode (LED) technology has been rapidly developing due to high energy efficiency and longer lifetimes of LED luminaires. One of the main challenges in designing LED components is to manage the inter-twined relation between thermal, electrical, and optical performances. These dependencies are required to be well understood in order to operate LEDs efficiently and have accurate performance...
The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount ofvideo data. This video data is then processed for object classification to extract useful information. However, the videodata obtained by these cheap cameras is often of low qualityand results in blur video content. Moreover, various...
In industrial production, the application of the on-line detection and recognition technology of capsule defects is more and more widely. The correct segmentation of the target capsule is essential for the feature extraction and accurate recognition. Because the difference between the oval transparent capsule and background is small and the image exists uneven illumination interference, common methods...
This paper presents an image inpainting algorithm which relies on the fast global optimal searching. The whole framework of our method is focused on approximating the minimum of the proposed energy function with additional new texture term. We combine four steps in the framework. First, the initialization is carried out layer by layer in a fast way. Second, we use PatchMatch algorithm to realize the...
In practical applications, face detection based on AdaBoost algorithm usually has high false positive rate and missing rate due to the interference of complex background in color images. To address these problems, this paper proposes a face detection method combined skin color segmentation with the AdaBoost algorithm. Firstly, in order to avoid the influence of poor lighting conditions, we use the...
The composite images in a panorama may becaptured in different light conditions, which leads to differentcolors of the same scene in consecutive images. The existingcolor smoothing methods only narrow the color difference inthe connection of two images. The existing color correctionmethods fail when the illumination difference is large. Sousually there are some seams or color blocks in the resultingpanoramas...
The detection of manipulated images is of utmost significance nowadays, mainly due to the various technological, moral, and judicial connotations associated with image editing. In this paper, a common form of image manipulation known as image composition or splicing is examined. The forgery detection method proposed here makes use of fine inconsistencies in the colour of the lighting of images. Our...
Phase Congruency (PC) can highlight small discontinuities in images with varying illumination and contrast using the congruency of phase in Fourier components. PC can not only detect the subtle variations in the image intensity but can also highlight the anomalous values to develop a deeper understanding of the images content and context. In this paper, we propose a new method based on PC for computational...
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,...
Facial expression recognition is increasingly gaining importance in emerging affective computing applications. In practice, achieving accurate facial expression recognition is still challenging due to environmental variations. In this paper, we propose a color channel-wise recurrent facial feature learning. The proposed method adopts recurrent neural network to learn expression features sequentially...
Illumination changes such as shadows significantly affect the accuracy of various road detection methods, especially for vision-based approaches with an on-board monocular camera. To efficiently consider such illumination changes, we propose a PCA based technique, PCA-II, that finds the minimum projection space from an input RGB image, and then use the space as the illumination-invariant space for...
In this paper, we propose surrounding adaptive tone mapping in displayed images under ambient light. Under strong ambient light, the displayed images on the screen are darkly perceived by human eyes, especially in dark regions. We deal with the ambient light problem in mobile devices by brightness enhancement and adaptive tone mapping. First, we perform brightness compensation in dark regions using...
In this paper, we propose retinex-based perceptual contrast enhancement in images using luminance adaptation. We use the retinex theory to decompose an image into illumination and reflectance layers, and adopt luminance adaptation to handle the illumination layer which causes detail loss. First, we obtain the illumination layer using adaptive Gaussian filtering to remove halo artifacts. Then, we adaptively...
This paper concerns the detection of human skin in images. Researchers have demonstrated that color information alone is highly effective for skin detection and related segmentation tasks. However, many situations exist for which color information is either not available or not reliable. Examples include images obtained under low-light conditions, legacy grayscale images and videos, and near-infrared...
The traffic sign detection and recognition is an integral part of Advanced Driver Assistance System (ADAS). Traffic signs provide information about the traffic rules, road conditions and route directions and assist the drivers for better and safe driving. Traffic sign detection and recognition system has two main stages: The first stage involves the traffic sign localization and the second stage classifies...
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