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Road detection from satellite images can be considered as a classification process in which pixels are divided into road and background classes and can be used as a criterion in road extraction process to discriminate between road and non road pixels. Apart from the spectral information, textural parameters and contextual information are usually used by human being in object recognition from images...
In the current medical world, B-ultrasound is usually utilized as the detection technique of fatty liver. However, because of the image resolution at B-Ultrasound is limited, the technique is inadequate to after quantitative data to help doctors make decisions and judgments. Therefore, doctors instead make decisions based on their precedent experiences, which are arguably not precise in many cases...
As an important type of wetlands, fish-pond provides a number of important ecosystem services. It was easily affected by human activities such as the change of cultivation structure. Tracking the fast change of fish-pond can obtain the information that the environment is impacted by human activities to what extent. In this study, we proposed a change detection procedure in order to delineate fast...
Recently, there have been several advances for developing manifold learning algorithms to learn the nonlinear manifold of collected data. To our best knowledge, however, learning manifold from incomplete data set, wherein some features of samples are missing, is still an untouched problem so far. In context of incomplete image set, an improved LTSA algorithm is proposed to learn manifold from corrupted...
This paper presents a new method for extracting planar features from noisy range data. The method encodes the local geometric information (surface normals) and global spatial information (coordinates) of 3D data points into an Enhanced Range Image (ERI) which is then clustered into a number of homogeneous groups, called Super Pixels (SPs). The Normalized Cuts (NC) method is employed to the graph built...
This paper discusses methods and parameter settings that help to estimate texture in SAR images. In general, this is a difficult task for SAR images that are characterized by speckle noise and which span a wide range of pixel magnitudes. We applied Gauss Markov Random Field (GMRF) models and Enhanced Model Based Despeckling (EMBD) to 1 meter resolution amplitude images of the German TerraSAR-X mission...
This paper discusses the basic paradigm of how image information mining methods work in the field of remote sensing. To this end, we compare our approaches to the approaches being used in the world of multimedia; then we discuss the annotation specifics of remote sensing data and describe the different types of remote sensing data that we are faced with today. We conclude with a description of algorithmic...
This paper addresses the problem of change detection (CD) in very high geometrical resolution (VHR) multitemporal images. In this context, we propose a general conceptual framework that aims at giving: i) a taxonomy of different radiometric changes occurring when dealing with VHR remote sensing images; and ii) a global approach to the definition of the architecture of effective CD methods for VHR...
In this paper, we propose a hybrid data hiding method to embed three secret bits to four cover pixels. In the proposed method, a Hamming code word consists of three parity check bits whose values are identical to three secret bits and four data bits whose values are derived by performing XOR Function on four cover pixels. In order to keep the Hamming code word satisfying the condition of (7, 4) Hamming...
Land use/cover is the most prominent landscape sign of the earth surface system. Remote sensing technology provides the land use/cover information quickly and precisely. With the recent high-resolution commercial satellites successfully launched, the image may provide abundant geometrical and spatial information, including texture, structure and shape of ground target and so on. Traditional pixel-based...
With Huabei Plain of China as the study area, this research proposed a new method for pixel-level MCI (multiple cropping index) extraction with multi-temporal MODIS EVI data based on crop phenology and DT (decision tree). The method could be divided into two steps. First, based on the local crop phenology, several features were identified to discriminate pixel-level MCI, which includes three types:...
This paper proposes an edge embedded marker-based watershed algorithm for high spatial resolution remote sensing image segmentation. Two improvement techniques are proposed for the two key steps of maker extraction and pixel labeling respectively to make it more effective and efficient for high spatial resolution image segmentation. Moreover, the edge information, detected by the edge detector embedded...
Nowadays, the lung lobe segmentation is the most basic step in Lung CAD (Computer-aided diagnosis) and is playing an increasingly important role in the early diagnosis of lung diseases and the analysis of pulmonary functions. The key to achieving lung lobe segmentation is to detect and locate lung fissures. With the wide applications of HRCT (High-Resolution Computed Tomography), CT data with higher...
Considering evaluation of multisource image fusion performance, various methods of subjective & quantitative and objective & qualitative assessments of multisource image fusion are discussed in this paper. Based on the relationship and individual characteristics of these measures, the synthetic evaluation system and criterions of multisource image fusion are formed. Using these evaluation...
In this paper, we propose an algorithm for video signature using music videos and news video for our study. The algorithm was developed based on our earlier work with an improvement (reducing the steps) on the process of generating video signature. Thus, revised process reduces the amount of processing time needed tremendously. In addition, besides color as a feature, we introduce the addition of...
In this paper, we discuss whether there is any possibility of hiding data in video. Testing our theory, we propose a novel video hiding scheme based on LSB, and we use three-dimensional array to auxiliary our scheme, adaptive LSB data hiding technique, which is a typical method used to achieve information hiding in images, and three-dimensional array used to storage pixels' information of the cover...
In this paper, we propose a novel face hallucination method which mainly focuses on recovering the lost high-frequency information of low resolution face images. Both the global information and local detailed features are taken into account in the proposed method. Firstly, the resolution of the low-resolution face image is enhanced by an edge-protecting interpolation algorithm. Then, the structural...
Selecting the fewest contributive image frames for mosaicing video frames into a panoramic photography is effectively to reduce video redundancy and improve blending efficiency. It comes down to a set covering problem after all video frames being registered. The minimal set of frames covering the entire mosaic is reserved to compose the final panorama. Then the mosaic plane is divided into several...
Connected component labeling is an indispensable and one of most time consuming tasks of the applications in computer vision. Many labeling algorithms have been introduced, such as scan plus connection table, scan plus union-find, and contour tracing etc. They would rather use byte data than bit data to represent the binary pixel, which is either 1 or 0, due to the heavy cost of bitwise operations...
A method of nonlinear compensation for human vision contrast resolution (HVCR) is presented to acquire the best image quality in the conditions of low-light-level. In order to obtain the compensation depth for the best quality image, the best image quality assessment (BIQA) method is also proposed.
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