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Motion detection is foundation of service robot vision in Human-Robot Interaction (HRI). Foreground detection is an important step of the motion detection. If the foreground detected is not correct, the motion detected will be wrong. To improve the efficiency and robustness of motion detection for HRI, a motion detection system for HRI based on image parameters and HRI context (MDIPC system) is proposed,...
In the paper we present a method for segmentation of insects from the Insect Soup images. The method enables reliable segmentation of insects of variable size, shape and color. After segmentation, a set of properties are assigned to each segmented insect which enables classification into different categories. The approach was successfully applied on two different types of real life images: images...
In this paper ceiling affixed ARToolKitPlus 2D code artificial landmarks are evaluated for purposes of robot localization and navigation. Ceiling affixed codes rarely come in contact with people, equipment or robots, and for this reason they are more likely to stay detectable over a longer period of time. Multi threshold averaging, light gradient compensation and neighbourhood search techniques further...
In this paper, a new denoising and contrast enhancement method for DTI is proposed. Noise removal is given priority in existing denoising methods. In order to increase the visibility of structural details, contrast enhancement methods has to be used. In proposed method, a non-linear adaptive Gaussian denoising filter removes noises from the DTI. To increase the visibility of filtered micro structural...
This paper deals with color image quality assessment in the reduced-reference framework based on natural scenes statistics. In this context, we propose to model the statistics of the steer able pyramid coefficients by a Multivariate Generalized Gaussian distribution (MGGD). This model allows taking into account the high correlation between the components of the RGB color space. For each selected scale...
A noise-enhanced contrast stretching algorithm for enhancement of dark images in SVD-DWT domain has been presented in this paper. A dark or low-contrast image is considered to be comprising a weak signal (information) and noise (due to insufficient illumination). Since singular values of an image represent luminance of independent image layers, the internal noise may be considered to be inherent in...
This paper proposes a pencil sketch generating system that can create various pencil sketching styles for images, to satisfy different needs of users. The pencil sketch generating process includes process of three parts: line drawing, tone adjustment, and texture rendering. Some operations needed are first proposed, and various pencil sketching styles that generated by the proposed system are illustrated.
Many people will use digital cameras and camera phones to take images. However, the visual quality (contrast, color rendition, etc.) of some acquired images may be poor due to the limitation of capturing devices or improper illumination conditions, particularly in wide dynamic range scenes. Thus, the images generally consist of both overexposed and underexposed areas. Conventional image enhancement...
This paper introduces a copy-move image forgery detection method based on local binary patterns (LBP) and neighborhood clustering. In the proposed method, an image is first decomposed into three color components. LBP histograms are then calculated from overlapping blocks from each component. The histogram distance between the blocks is calculated and the block-pairs having the minimal distance are...
Depth maps provided by Microsoft Kinect often contain large dark holes around depth boundaries and occasional missing pixels in non-occluded regions, as well as noise, which prevent their further usage in real-world applications. In this paper, we present a graph Laplacian based framework to restore missing pixels based on the strong correlation between color image and depth map. To preserve sharp...
In order to address the problem that the pedestrian segmentation in infrared image is easy to be interfered by the human pose and noise, this paper presents a pedestrian segmentation algorithm in infrared images employing super pixel and conditional random filed. Owing to accelerate the computation, the algorithm employs the simple linear iterative clustering algorithm to divide the image into some...
In this paper, we present a technique to remove the noise of a depth map while fill the missing regions of the depth map. Generally, the depth map is degraded during the sensing process, thermal noise, the condition of the atmosphere, and the occlusion by the objects. Different to the previous works which only adopt the joint image filters directly, we propose an automatic multi-resolution approach...
To obtain a single best-suited solution, an ill-posed global optimisation problem is regularised. Conventional regularisation, that adds to the goal function a weighed smoothing term, is theoretically justified for linear and a number of non-linear ill-posed mathematical problems. But for inverse optical problems in computer vision such regularisation is mostly heuristic and thus guarantee neither...
Vehicle counting system has a wide range of applications, from visual surveillance to intelligent transportation. Due to the different lighting conditions during the day and night, there is not a unified method to capture vehicles. To address this problem, we present unified vehicle detection and counting algorithm based on a new multiple feature background models using morphology and color difference...
Lateral inhibition is a technique to enhance the sharpness of images, which is developed from Hartline's research on sensory inhibition. Conventional lateral inhibition operates on the entire image like high-pass filter, which also strengthens noise besides edges. Thus this paper proposes an adaptive lateral inhibition based on the features of the image's color distribution detected by improved Ruzon...
This paper proposes an image processing approach to automatic scoring system for archery targets. Specifically, the proposed system first performs Morphological operations on the target image to obtain thick boundaries of the arrow hits and then the image segmentation process is applied to segment the target area by using color and shape features. In doing so, a dynamic thresholding is applied to...
This paper proposes format compliant degradation method for Portable Network Graphics (PNG). For PNG degradation, improved prefix method and noise generation method are developed. Security analysis showed proposed scheme is secure, and experiments results showed expected functionality and efficiency.
Spectral reflectance represents physical information of an object surface. In a conventional colour management system the spectral reflectance will be converted to the common space which will describe object tristimulus value or how will that particular colour will look under some of the standard illuminants or real light sources. However, many applications will require the object reflection to be...
In many applications, meaningful image structures tend to be piecewise smooth rather than band-limited. And edge-preserving image filters are always used to extract such structures and reduce noise. In this paper, a new image filtering method is introduced. We use geodesic distance to compute support weight, and a fast approximation named orthogonal geodesic distance weight is proposed. It greatly...
We present in this paper a fast single image defogging method that uses a novel approach to refining the estimate of amount of fog in an image with the Locally Adaptive Wiener Filter. We provide a solution for estimating noise parameters for the filter when the observation and noise are correlated by decorrelating with a naively estimated defogged image. We demonstrate our method is 50 to 100 times...
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