A hierarchical structure is a stack of successively reduced image representations. Each basic element of a hierarchical structure is the father of a set of elements in the level below. The transitive closure of this f...
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The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction pro...
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The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction process with other molecules in a biological *** the explosion of protein sequences generated in the Post-Genomic Age,it is vital to develop an automated method to deal with such a *** explore this prob-lem,we adopted an approach based on the pseudo position-specific score matrix(Pse-PSSM)descriptor,proposed by Chou and Shen,representing a protein *** Pse-PSSM descriptor is advantageous in that it can combine the evolution information and sequence-correlated ***,incorporating all these effects into a descriptor may cause‘high dimension disaster’.To over-come such a problem,the fusion approach was adopted by Chou and Shen.A completely different approach,linear dimensionality reduction algorithm principal component analysis(PCA)is introduced to extract key features from the high-dimensional Pse-PSSM *** obtained dimension-reduced descriptor vector is a compact repre-sentation of the original high dimensional *** jack-knife test results indicate that the dimensionality reduction approach is efficient in coping with complicated problems in biological systems,such as predicting the quaternary struc-ture of proteins.
A digital watermark algorithm based on Kalman filter and image fusion is proposed. Digital watermarking is considered as a process of image fusion. Watermark image and original image are unified in a new state equatio...
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Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize th...
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Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize the distinctness of formal photographs. That is, the object is an image of the human head, and the background is in unicolor. Therefore, the compression is of low efficiency and the image after compression is still space-consuming. This paper presents an image compression algorithm based on object segmentation for practical high-efficiency applications. To achieve high coding efficiency, shape-adaptive discrete wavelet transforms are used to transformation arbitrarily shaped objects. The areas of the human head and its background are compressed separately to reduce the coding redundancy of the background. Two methods, lossless image contour coding based on differential chain, and modified set partitioning in hierarchical trees （SPIHT） algorithm of arbitrary shape, are discussed in detail. The results of experiments show that when bit per pixel （bpp）is equal to 0.078, peak signal-to-noise ratio （PSNR） of reconstructed photograph will exceed the standard of SPIHT by nearly 4dB.
Thousands of fragments of ceramics (called sherds for short) are found at archaeological excavation sites. One of these excavations sites is Tel Dor in Israel. The excavators in Dor use hand drawings and a profilograp...
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Thousands of fragments of ceramics (called sherds for short) are found at archaeological excavation sites. One of these excavations sites is Tel Dor in Israel. The excavators in Dor use hand drawings and a profilograph for documentation of sherds. Both techniques acquire a cross-section of the sherd, the so called profile line, which is used for classification and statistical analysis about the ancient population of Dor. As proposed in previous work we are developing a fully automated system for documentation of sherds by 3D-acquisition based on structured light and extraction of the profile line. Consequently we joined the field trip to Tel Dor in July, 2004 to compare in-situ the accuracy and performance of the traditional hand drawings, the profilograph and our system. We therefore alos measured the time for each step of documentation in-situ to find bottle-necks in documented sherds per hour. Based on these results we could propose an improvement to increase the throughput of our system by a factor of 5. The results of the comparison of all three techniques of documentation of sherds, the improvement for our system and a methodological experiment for future work are shown in this report.
This paper is concerned with algorithms for removal additive noise from images. The proposed (α,ß)-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive n...
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This paper is concerned with algorithms for removal additive noise from images. The proposed (α,ß)-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive noise. The developed technique is a generalization of α-trimmed mean filter and have the same basic properties as rank-order filters. The actual performance of proposed technique was compared with that of average, median and midpoint filters and evaluated on noisy images by the error of restoration. The illustrative examples are given.
This paper focuses on basic geometric and topological access methods, and computational operations implemented by various data objects. It covers such methods as inter-slices point matching, stream slices, sorting of ...
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This paper focuses on basic geometric and topological access methods, and computational operations implemented by various data objects. It covers such methods as inter-slices point matching, stream slices, sorting of octree blocks, cell operations and experimental results. At first, this paper discusses in detail the feature points matching of inter-slices. Then it introduces stream slices eigenfields and octree data structures theories. Next, it discusses cell operations and its data structure. Finally, it shows an experimental result. The innovations in the paper is the data structure of slices feature and cell feature, and the feature matching methods owns the properties both quickly and exactly.
Deep learning is widely used in computer vision. In this study, we present a new method based on Convolutional Neural Networks (CNN) and subspace learning for face recognition under two circumstances. A very deep CNN ...
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This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algor...
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Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside on different manifolds of possible dif...
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