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This paper proposes a novel colorization-based color image coding method. This method segments an input image into small segments called superpixels and restores the chrominance of each superpixel as the linear transformation of its luminance. A lot of color image coding methods using colorization have been proposed, but no methods utilize a local correlation between the luminance component and the...
This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing multiset aggregated canonical correlation analysis (MACCA)-based feature fusion to fuse and combine multiple features. Firstly, a superpixel representation of the scene is constructed by employing a high-efficiency linear iterative clustering algorithm. After that, three diverse...
Single-sensor color cameras, which classically use a color filter array (CFA) to sample RGB channels, have recently been extended to the multispectral domain. To sample more than three wavelength bands, such systems use a multispectral filter array (MSFA) that provides a raw image in which a single channel level is available at each pixel. A demosaicing procedure is then needed to estimate a multispectral...
Human face is a very important research subject in computer vision due to its wide application prospect. However, pose, illumination and expression (PIE) variations challenge the robustness offace descriptions. Due to the unique structure and human perception of faces, facial parts are always considered most representative and discriminative in the whole face. In this paper, we propose a novel face...
This study aimed to compare color categorization characteristics of color vision deficient (CVD) observers with those of normal trichromat (NT) observers. In order to investigate the effects of color luminace and the use of perceptual judgements on color categorization properties, the experiment carried out at three luminance levels by using two experimental tasks, a color-naming task (CNT) and a...
In the process of 3D regeneration from stereo images, a disparity map can be determined by matching the same objects on the stereo image pair. However, different light conditions of an image pair, such as exposure, illumination, and illuminant color, usually compromise the accuracy of matching. This usually occurs when taking outdoor images. In this paper, we propose a preprocessing method to improve...
Achieving high accuracy for classifying foreground and background is an interesting challenge in the field of scene image analysis because of the wide range of illumination, complex background, and scale changes. Classifying foreground and background using bag-of-feature model gives a good result. However, the performance of the classifier depends on designed features. Therefore, this paper presents...
Color is one of the things that can affect the consumers' buying decisions since it becomes the first impression of consumer's eye. Every consumer has their own perception about the color, including the emotional impression appeared. For instance is the color in car exterior. This paper aimed to rate the emotional impression of Indonesian consumers on city car exterior. There are six colors favored...
This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing...
A face recognition system which utilizes binary facial images and a bitwise similarity calculation method is proposed for link selection between mobile devices. As a pre-processing step, normalized differences of Gaussian and facial region estimation were used to handle illumination conditions. Binary images were used to extract facial feature sets that did not exceed 700 bytes. Scale pyramids and...
This paper addresses a new problem of matching traffic-flow patterns from different scenes. We firstly introduce cliques to measure the topology similarity between traffic flow patterns. Based on the clique information, a matching cost function is formulated to find the optimal flow-pattern matching. In order to avoid wrong matches due to large variations in traffic flow distributions, we further...
Confocal microscopy is employed as a fast and non-invasive way to capture a sequence of images from different layers and membranes of the cornea. The captured images are used to extract useful and helpful clinical information for early diagnosis of corneal diseases such as, Diabetic Peripheral Neuropathy (DPN). In this paper, an automatic corneal subbasal nerve registration system is proposed. The...
Video Summarization acts as an important function in the field of video examination and abstraction. Due to the enormous growth in multimedia techniques, it is becoming increasingly important to be able to navigate the videos efficiently and in shorter time. To address these challenges, we propose a novel Video Summarization technique based on the weighted combination of color and texture features...
We revisited past user study data on multivariate visualizations, looking at whether image processing measures offer any insight into user performance. While we find statistically significant correlations, some of the greatest insights into user performance came from variables that have strong ties to two key properties of mul-tivariate representations. We discuss our analysis and propose a taxonomy...
One of the most vital challenges for weather forecasters is the correlation between two geographical phenomena that are distributed continuously in multidimensional multivariate time-varying datasets. In this research, we have visualized the correlation between Pressure and Temperature in the climate datasets. Pearson correlation is used in this study to measure the major linear relationship between...
An enhanced approach for colour target recognition for still imagery and video is demonstrated in this paper. The proposed model successfully deals with object detection in clutter and distorted environment by using combination of three different techniques — Quaternion correlation, Logarithm mapping and EMACH. Quaternion correlation technique is used to measure colour similarity. Logarithm mapping...
Although visual tracking is a well-established problem in computer vision, it still remains a challenging task due to many disturbed factors such as appearance changes, illumination changes, partial or full occlusions, rotation, etc. Recently, spatio-temporal context (STC) learning algorithm has been proposed, which exploits the spatio-temporal relationships between the object of interest and its...
Traversable region detection is important for autonomous visual navigation of mobile robots. Only short range traversable regions can be detected using traditional methods based on stereo vision because of the limited image resolution and baseline of stereo vision. In this paper, we propose a novel method to detect long range traversable regions without using any supervised or self-supervised learning...
The sensors of a typical digital camera are broad-band, i.e. they cover most of the visible spectrum. This means that the images from the RGB channels are highly correlated. Specifically, if a luminance edge appears in one channel then it is highly likely an edge in the other two. This paper presents a parameterless diffusion algorithm that explores the correlation between the colour channels to remove...
Sharpness is an important image quality attribute for projection displays. However, it has not been well studied for projection displays in the existing literature. In this paper, we conduct an experimental study of perceived sharpness on projection displays in a controlled environment. The basic idea is to simulate the optical blurring process with Gaussian filtering and apply them to selected natural...
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