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The feature matching and tracking of binocular vision inter-frame images have been divided into three parts in this paper. Before image feature extraction, an image binarization segmentation method based on HSV color space is used to extract the target in order to reduce the searching range of feature points and improve the matching efficiency. About feature matching, a modified ORB method combining...
A deoxyribonucleic acid (DNA) microarray is a powerful tool that is widely used in genetics to monitor the expression levels of thousands of genes in parallel. Gridding, segmentation and intensity extraction is the process of gene expression. In the process of gene expression, gridding process information leading to dig their own DNA and provide coordinates for each point. Gridding can be implemented...
Extensive research has been conducted in an effort to evaluate methods and techniques for image segmentation. However, while most literature has focused on evaluating automatic and semi-automatic algorithms, works evaluating interactive segmentation algorithms are less numerous. Note that interactive segmentation can improve results by adding prior knowledge from users into the process. Although this...
The performance of pattern classifiers depends on the separability of the classes in the feature space — a property related to the quality of the descriptors — and the choice of informative training samples for user labeling — a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We...
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...
In the article a vision system for shape and colour recognition of dishes (plates, bowls, mugs), which can be used to automate the process of customer service in a self-service canteen is described. In consists of three basic components: object segmentation using so-called background model subtraction, shape recognition using geometric invariant moments and SVM classifier, as well as colour recognition...
Pairwise and higher order potentials in the Hierarchical Conditional Random Field (HCRF) model play a vital role in smoothing region boundary and extracting actual object contour in the labeling space. However, pairwise potential evaluated by color information has the tendency to over-smooth small regions which are similar to their neighbors in the color space; and the higher order potential associated...
Graph-cut optimization has been successfully applied in many image segmentation tasks. Within this framework color information has been extensively used as a perceptual property of objects to segment the foreground object from background. There are different representations of color in digital images, each with special characteristics. Previous work on segmentation lacks a systematic study of which...
Plants are fundamental for human beings, so it's very important to catalog and preserve all the plants species. Identifying an unknown plant species is not a simple task. Automatic image processing techniques based on leaves recognition can help to find the best features useful for plant representation and classification. Many methods present in literature use only a small and complex set of features,...
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...
This paper addresses the problem of person re-identification and its application to a real world scenario. We introduce a retrieval system that helps a human operator in browsing a video content. This system is designed for determining whether a given person of interest has already appeared over a network of cameras. In contrast to most of state of the art approaches we do not focus on searching the...
This paper presents a method to estimate a depth map using an infrared projector and a pair of infrared color cameras that can capture infrared and color images simultaneously. The infrared projector projects a dot pattern so that the cameras capture infrared images of a scene textured by the dots with which depths to surfaces in the scene can be estimated regardless of whether they have visible textures...
Previous polarimetric synthetic aperture radar (PolSAR) images change detection methods are generally undertaken in the pixel scale, resulting in overlooking the semantic information. To solve this problem, this paper presents a superpixel-based PolSAR images change detection methods. Different from some previous methods, an improved SLIC superpixel segmentation method is introduced in polarimetric...
3D real-time measurement of the dynamic inconstant object is one of the most significant and promising modern methods. Currently existing methods also have their own characteristics and advantages, but they are single and limited. Based on the actual development situation of 3D measurement technology, five typical 3D optical measurement methods are summarized, and the triple-frequency color fringe...
Introduced the idea of visual saliency in computer vision, the model of flame detection is proposed based on the temporal-spatial visual saliency. Firstly, the Lab color space is obtained, then three channels (L, a, b) are segmented with threshold and filtered in Gaussian. The grayscale integral projection method is used to extract the brightness saliency of flame. Secondly, the flame region of interest...
In this paper we explore ways to address the issue of dataset bias in person re-identification by using data augmentation to increase the variability of the available datasets, and we introduce a novel data augmentation method for re-identification based on changing the image background. We show that use of data augmentation can improve the cross-dataset generalisation of convolutional network based...
In this paper, a Binary Robust Invariant Scalable Keypoints (BRISK) based detection is utilized to facilitate the flying unmanned aerial vehicle (UAV) localization within its autonomous landing on the runway. Specifically, two target detection algorithms are proposed and developed as the BRISK-supported approach. Dataset of images and differential GPS are recorded by a ground stereo vision guidance...
Terrain classification in field environment for mobile robot is affected by weather conditions among which illumination diversification plays a major role. With the changes in feature extraction method, classification result will vary significantly in the changing environment. This paper introduces a method of illumination recognition by analyzing the illumination distribution in visual space and...
Contemporary media entail colour-coded information. While an average viewer takes colour images for granted, individuals with colour vision deficiency have difficulties in discriminating certain colour combinations and, consequently, have difficulties in perceiving image features. Well-established simulation tools allow us to see the image from their perspective that goes beyond the stereotypical...
For point-wise gamut mapping, the largest challenge is how to preserve both detail and saturation with state of the art gamut mapping algorithms based on the main concepts of gamut clipping or gamut compression. Based on a combination of clipping and compression algorithms, a hybrid point-wise gamut mapping framework is proposed and evaluated in this paper. Using five standard scenes, five combination...
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