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Turmeric quality mainly depends on Curcumin which not only imparts yellow color of turmeric but also the principal Curcuminod of turmeric. Chemicals with yellow colors e.g. Metanil yellow are often mixed to turmeric powder for achieving the attractive yellow color without much change in taste. Consumption of adulterant can cause health hazards. The detection of unwanted mixing of adulterant with food...
In the Chinese classical gardens, the pavilion is one of the most representative classical garden architectures, in order to reflect the aesthetic values of city landscape pavilion, this paper uses the main city in China's classical Pavilion as the research object and selects 90 representative samples for quantitative evaluation of the classical Pavilion by SBE method. By using correlation analysis,...
In typical applications, chromatic indices are calculated as linear combinations of the normalized r-, g- and b-channels and used as features for a later classification based on chromatic appearance. But the variety of indices used in the literature is very limited. Furthermore is the choice of which index to use justified either empirically, based on false mathematical assumptions or not justified...
This paper is devoted to investigation of features that will be the most appropriate for description of high resolution satellite imagery. We developed an image description model which is based on the distribution of image object classes. Proposed model could be used for image similarity estimation.
This article contains a new alternative to the nondestructive hyperspectral analysis of the fermentation process of the cocoa bean. The study focuses on the chemical changes of the bean, measured along the eight days of fermentation in the wood boxes, and relating it to a new hyperspectral index. The study compares several beans looking for a new index, obtaining, for each index, a variety of curves...
When shooting through a glass window, a foreground scene may be reflected in the captured image. The elimination of this reflection is useful for protecting the privacy of surrounding people, improving image recognition accuracy in robot vision, etc. In this paper, we propose a reflection-removal method based on sparse/no-sparse gradient regularizations with gradient constraints. Experimental results...
In this paper, an image steganography approach is presented dividing the cover image into 2×2 non-overlapping pixel blocks. The upper-left pixel of that block embeds a certain number of bits of the secret bit stream. Whereas, the remaining pixels of the same block embed the secret data using a modified version of the pixel-value-differencing (PVD) method that considers embedding secret data into both...
We recently introduced a spread-spectrum color Doppler imaging method that produces high-resolution, highframe-rate images without the use of compounding, thereby eliminating the tradeoffs among beam quality, frame rate, and the maximum unaliased Doppler frequency that exist for standard plane-wave imaging methods. In this manuscript, we extend the spread-spectrum method to significantly reduce tissue...
The correcting process for strokes extracted from Chinese characters is the necessary step to extract the errors of writing errors automatically. Visualization of extracted strokes is the prerequisite for manual correction. Therefore, visualization and adaptive correction methods are proposed. To reduce the cognitive burden of correcting, color, brightness, saturation and order number is comprehensively...
Consumers in everyday life, especially in terms of the use of cooking food can not be separated from edible oils, especially now many edible oil products on the market made in the form of packaging. Consumers in this case would be to buy the product based on the aspects and criteria in accordance with their wishes. Consumers will buy these products not only look from one criterion alone, there are...
In this paper, we propose a consistent-aware deep learning (CADL) framework for person re-identification in a camera network. Unlike most existing person re-identification methods which identify whether two body images are from the same person, our approach aims to obtain the maximal correct matches for the whole camera network. Different from recently proposed camera network based re-identification...
In this paper, a novel spectral-spatial very high resolution images shadow detection algorithm based on random walker is proposed. First, a set of training samples is obtained by an improved Otsu based thresholding method automatically. Then, a widely used pixel-wise classifier, i.e., the Support Vector Machine (SVM), is applied to obtain an initial binary classification map. Finally, the initial...
Remote sensing images are widely used in various fields. However, they are usually degraded by haze. In this paper, a spatial-spectral adaptive haze removal method for remote sensing images is proposed. The proposed method is based on haze imaging model and the dark channel prior. Our method is able to diminish the phenomenon of color distortion and haze removed not completely in different bands....
The rapid growth of urban image scale and its resulting high cost of data storage have become the factors which will restrict the development of the smart urban security system. Image stitching technology can synthesize many smallview images into a picture with large view and high quality which helps to smart city overall planning and regulation. Also, image stitching removes the repetitive, redundant...
This paper proposes a new approach for contextual feature extraction from superpixels in aerial urban scenes. Our method extracts features with many levels of context from superpixels by exploiting different layers of a pre-trained convolutional neural network. Experimental results show the effectiveness of the proposed approach, which outperforms traditional methods based on handcrafted feature extraction...
Big data term refers to different variations of large datasets to complex to be processed by traditional computing methods. The paper presents a system for retrieving images in relational databases in a distributed environment. Content of the query image and images in the database is compared using global color information and local image keypoints. Image keypoints are indexed by fuzzy sets directly...
Predicting upcoming bands of hyperspectral images is an important task in modern image compression algorithms. This paper proposes a new algorithm to predict the band-wise correlation of hyperspectral images based on a generalized regression neural network (GRNN). The proposed algorithm uses the intensity values of the previous bands to train the GRNN and approximates the correlation between them...
This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit treatments for different color channels. A warping...
The undesirable local change in the illumination intensity observed in a captured image often due to some opaque object hindering the light path is termed as shadow. Apart from resisting the image to deliver the high quality content, it also reduces the efficiency of various next level image processing applications such as object detection, feature extraction etc. This paper proposes a method to recoup...
This paper proposes a color attribute compression method for MPEG Point Cloud Compression (PCC) by exploiting the spatial redundancy among the adjacent points. With the increased interest in representing real-world surface as 3D point clouds, compressing the attributes (i.e., colors and normal directions) of point cloud has attracted great attention in MPEG. The proposed method is based on grouping...
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