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Color correction is an important problem in image stitching. There is a color inconsistency issue between the images (good quality as a reference image and bad quality as a test image) to be stitched. This paper presents a color correction approach with histogram specification and global mapping. The proposed algorithm can make images share the same color style and obtain color consistency. There...
In case when higher-order statistic is used for local feature aggregation, final descriptor can have very high dimensionality. In this paper different methods for descriptor dimensionality reduction are evaluated for land-use classification. Concretely, aerial image classification accuracy is compared for the cases when dimensionality reduction is made per band with fixed and variable sizes. For both...
Recognizing the same person across multiple potentially non-overlapping cameras, known as Person re-identification, is a fundamental challenging task in Computer Vision. This is due to the important challenges that it proposes, like large view angle, pose, background clutter and occlusion and low resolution. Most of existing approaches rely on brute-force matching between pedestrian local descriptors...
This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative...
An image structure provides the visual information of an image which plays an important role in visual perception. Visual Perception is considered as the end product of visual system. It can be described as the way the brain interprets what the eye sees. Human Visual System can easily extract the structure information and structure character is widely used in perception-oriented image processing tasks,...
This paper presents a complete framework for image-based navigation from an image memory that exploits mutual information and does not need any feature extraction, matching or any 3D information. The navigation path is represented by a set of automatically selected key images obtained during a prior learning phase. The shared information (entropy) between the current acquired image and nearby key...
In this paper a novel approach for automatic bird species classification is described. The proposed strategy is based on features taken from the textural content of spectrogram images of bird vocalizations. We show how several texture descriptors can be used for representing the spectrograms. The following approaches are tested here with spectrograms for the first time: Local Ternary Phase Quantization,...
Profiling tools are indispensable for performance optimization of parallel codes. They allow users to understand where a code spends its time, and to focus optimization efforts on the most time consuming regions. However, two sources of complexity make them difficult to use on large-scale parallel applications. First, the code complexity of parallel applications is increasingly, and identifying the...
This paper proposes a new approach for image classification by combining pyramid match kernel(PMK) with spatial pyramid. Unlike the conventional spatial pyramid matching (SPM) approach which only uses a single-resolution feature vector to represent an image, we use a multi-resolution feature vector to represent an image for SPM. We then calculate the match scores at each resolution of SPM representation...
This paper addresses the problem of automatic target recognition (ATR) using inverse synthetic aperture radar (ISAR) images. In this context, we propose a novel approach for feature extraction to describe precisely an aircraft target from ISAR images. In our approach, a visual attention model is adopted to separate the salient regions from the background. After that, the scale invariant feature transform...
We present a long-range visual signal detection system that is suitable for an unmanned aerial vehicle to find an optical signal released at a desired landing site for the purposes of cargo delivery or rescue situations where radio signals or other communication systems are not available or the wind conditions at the landing site need to be signaled. The challenge here is to have a signal and detection...
Active learning classes, which aim at increasing student participation in class, demand more management skills from the instructor than a conventional lecture class does. However, the instructor rarely recognizes how his/her lessons are different from those of others. The instructor cannot know exactly how one of his/her lessons is different from his/her previous week's lesson. This class-to-class...
SIMPLE (Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors) is a model that proposes the reuse of well-established global descriptors by localizing their description mechanism on image patches located by local features' detectors. Having displayed impressive retrieval results on two different databases, in this paper we extend the family by replacing the originally picked...
There are many ideas to enhance the safety riding. Advanced Driver Assistance System (ADAS) is a system to help the driver more safety. ADAS has a purpose to assist and direct the driver in order to improve traffic safety. Traffic sign recognition is one important part of ADAS. Traffic sign is a warning sign which placed at the side or above the road to provide detail road information to the driver...
Sparse Coding is a widely used method to represent an image. However, sparse coding and its improved algorithms have the problem of complex computation and long running time and so on. For these problems, we propose an image classification method based on hash codes and space pyramid, which encodes local feature points with hash codes instead of sparse coding. Firstly, extract the local feature points...
This paper proposes a Bag of Visual Words (BoVW) based approach for keyword spotting on the Mongolian historical document images. In this paper, the first step is dividing the scanned Mongolian historical document images into word images by some preprocessing steps, such as connected component analysis, binarization etc. Then, all of image in our training set are processed in the following steps,...
Bag-of-visual-word (BOW) model for object recognition has attracted much attention in recent years. The ambiguity of visual words is a key issue to limit its performance. This paper presents an effective BOW scheme by introducing spatial weights, which is dependent on the saliency map. Different from conventional visual attention regions based on segmentation, this saliency map is obtained from selected...
Single feature extract method for image retrieval usually cannot get good results and it is hard to find a stable fusion method when across image datasets because the image descriptors usually describe image from single aspect. For this pragmatic issue, an improved FCTH-BoVW feature fusion algorithm called robust FCTH-BoVW is proposed in this paper. Traditional feature fusion methods almost use liner...
A new theory is presented about subjective images. The subjective image is generated by the visual system, and is the reflection of the objective image in the brain. First, the relation between the objective grayscale and the subjective grayscale is built by visual experiment, and thus a representation of the subjective image is found. Next, a histogram matching algorithm is developed to optimize...
Gamma correction is an efficient tool typically used to adjust the contrast and brightness of digital images. Recently, an adaptive gamma correction method is proposed by relating gamma parameter with the cumulative distribution function (CDF) of gray level histograms. It gains satisfied contrast enhancement (CE) effects on dimmed images, but is invalid on bright regions which are universal in real...
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