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This paper focus on classification of coastal landform. The study area is locate in QinZhou, Guangxi Zhuang Autonomous Region, China, using GF-1 image. In view of complex coastal landform, the current study firstly transforming RGB model to CIE LAB model, dividing image based on colour gradient, then conducting Gabor filtering and PCA transformation to develop texons and generating texton histogram...
Digital Image processing in medical field can play an important role in monitoring and diagnosis the patient's health condition to provide an effective treatment. However, quality of camera, luminescence level, and distance of object from camera and incidence angle of taking images introduces several foreign characteristics in images, making diagnostic process a difficult and cumbersome task. Image...
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...
The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among...
Word clouds are popular graphical representations used to effectively summarize the core content of a document, or of a set of documents. In particular, in a semantic word cloud the positions of the words also reflect their semantic correlation. Several algorithms have been proposed in the literature to compute semantic word clouds, both in a static and in a dynamic setting. However, so far, solutions...
View synthesis technique for 3D video and free viewpoint video (FVV) using existing view(s) can avoid the large volume of video data transmission. Existing techniques may concern poor rendering quality by missing pixel values (i.e. creating holes) due to the occluded region, rounding error and disparity discontinuity. To address those problems with the existing techniques uses correlations in spatial...
Over the years, data hiding has been seen as a useful tool to protect users' privacy. In this paper, a novel reversible data hiding scheme, which utilizes improved SMVQ (Side-match Vector Quantization) indices and embeds privacy data with higher counts indices, is proposed for color images. As a result, it improves Yang's scheme, which employs half of the VQ indices in codebook to embed privacy data,...
Land cover classification can be regarded as topic assignment that the pixels can be classified into different kinds of regions (e.g. road, tree, grass) according to the semantics of topics in topic model. In this paper, we present a novel probabilistic latent semantic analysis (pLSA) model based on sparsity constraint for classifying different kinds of land cover. In contrast with conventional topic...
Estimating and detecting red tide is particularly challenging when using remotely sensed observations. Aqua-Terra MODIS provides a high resolution spatio-temporal coverage to detect red tide blooms. Both in-situ and satellite data were analyzed for red tide period and non-red tide period in this study. The red tide period was between September and November, 2011 while the non-red tide period was between...
Correlation filter-based trackers achieve very good performance in visual tracking, but the traditional correlation tracking methods failed in mining the color information of the image sequence. To solve this problem, we propose a novel and robust scale adaptive tracker combined with color attributes in correlation filter framework, which extracts not only gray but also color information as the feature...
Modern industrial cameras mainly use the Bayer pattern as color filter array (CFA). However, this filtering limits the resolution of the color space. As interpolation methods cannot reconstruct the original image perfectly, they have to be optimized for a specific application. Therefore, the interpolation should match the purpose of the image processing system. Many standard algorithms are optimized...
The paper presents an efficient method for image segmentation based on inter-spectral information. Two classes of regions were considered: flooded and non-flooded. The images were captured by unmanned aerial vehicles (UAV), fix-winged type. Using features extracted from benchmark samples of each texture, flooded areas are automatically recognized from input test images. Our results show that the Haralick...
In this paper, a novel image descriptor, called Color Binary Correlation (CBC), is proposed for image retrieval. This method defines and describes the structure elements utilizing binary patterns based on colors and edge orientation respectively, and thus integrate texture with the other two properties. Besides, its variants CBCri and CBCu2, which are presented for rotated invariance and “unform”...
In this paper, a new image encryption algorithm has been introduced. The algorithm includes the Lorenz system in order to produce a chaotic data and uses it to mask the images for the secure encryption. Both the high sensitivity to the initial conditions and unpredictability have increased the capability of encrypting the images. The algorithm has been tested by different methods in order to evaluate...
In this article we present an approach in predicting a user's behavior using big data, correlations, Ramsey theory and generalized suffix trees. Recommendation systems are widely used, especially in e-commerce. The purpose of the recommendation system is to predict what items a user would prefer. This predictions are based on some information like the group in which the user could fit or the past...
The content of Earth Observation archives continues to explosively grow generating the need to extract valuable knowledge from these repositories. A traditional approach for remote sensing image retrieval is to compute the similarity between the user's query and the archive using a query by example system. Additionally, effective data mining involves the user into data exploration, making use of his...
Nowadays, the uses of reusable materials can be seen everywhere. Plastic material is one of the most popular recycled products, particularly plastic bottles made of PET (Polyethylene Terephthalate) and non-PET. Classification of plastic bottle types is necessary and is the first step for plastic bottles recycling processes. Thus, this paper presents multiple correlation method for classifying types...
Color transfer algorithms alter the color appearance in the source image by borrowing colors from the target image. In this paper, we present a simple yet effective generalized color transfer algorithm, taking into consideration the influences contributed from both the source and target images. We introduce the Gaussian membership function as our first color similarity measurement. This function aims...
The most well known and widely used method for comparing two homogeneous color samples is the CIEDE2000 color difference formula because of its strong agreement with human perception. However, the formula is unreliable when applied over images and its spatial extensions have shown little improvement compared with the original formula. Hence, researchers have proposed many methods intending to measure...
This paper reports the details and results of a subjective and objective quality evaluation assessing responses to an MPEG call for evidence (CfE) on high dynamic range (HDR) and wide color gamut video coding. Five HDR video contents, compressed at four bit rates by each proponent responding to the CfE, were used in the subjective assessments. To be able to evaluate the performance of objective quality...
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