This paper proposes a fast and robust algorithm for classification and recognition of ships based on the Principal Component Analysis (PCA) method. The three-dimensional ship models are achieved by modeling software o...
详细信息
This paper proposes a fast and robust algorithm for classification and recognition of ships based on the Principal Component Analysis (PCA) method. The three-dimensional ship models are achieved by modeling software of MultiGen, and then they are projected by Vega simulating software for two-dimensional ship silhouettes. The PCA method as against the Back-Propagation (BP) neural network method for simulated ship recognition using training and testing experiments, we can see that there is a sharp contrast between them. Some recognition results from simulated data are presented, the correct recognition rate of PCA method improved rapidly for each of the five ship types than that of neural network method, the number of times a ship type is recognized as one of the other ships is reduced greatly.
Scale is a major concept in many sciences concerned with human activities and physical processes occurring in the world, and directly related to many investigations of spatial objects, including the procedure of spati...
详细信息
Scale is a major concept in many sciences concerned with human activities and physical processes occurring in the world, and directly related to many investigations of spatial objects, including the procedure of spatial data mining. In this paper, we attempt to apply the spatial data mining to the field of coal mining, and the technical notion is to generate patterns or rules by means of different scale databases that depict the same subject. The whole research procedure gives readers an understanding of how processes operate at different scales and how they can be linked across scales. At the same time, our study actually presents a new method of image mining as well.
A wavelet neural network is applied to impulse noise removal in digital *** the position of the noise is detected by the wavelet neural network,the proposed method is able to effectively eliminate the impulse noise wh...
详细信息
A wavelet neural network is applied to impulse noise removal in digital *** the position of the noise is detected by the wavelet neural network,the proposed method is able to effectively eliminate the impulse noise while preserving more fine *** evaluation and detailed statistical analysis are employed to compare the method with traditional median *** results indicate the superiority of the proposed method.
This paper presents a novel approach to compute DCT-I, DCT-III, and DCT-IV. By using a modular mapping and truncating, DCTs are approximated by linear sums of discrete moments computed fast only through additions. Thi...
详细信息
Diagnostic ultrasound is one of useful and noninvasive tools for clinical medicine. However, due to its qualitative, subjective and experience-based nature, ultrasound images can be influenced by image conditions such...
详细信息
Autonomous model building is a crucial trend in model based methods like AAMs. This paper introduces an approach that deals with non-linearities by detecting distinct sub-parts in the data. Sub-models each representin...
详细信息
ISBN:
(纸本)1901725294
Autonomous model building is a crucial trend in model based methods like AAMs. This paper introduces an approach that deals with non-linearities by detecting distinct sub-parts in the data. Sub-models each representing an individual sub-part are derived from a minimum description length criterion. Thereby the resulting clique of models is more compact and obtains a better generalization behavior than a single model. The proposed AAM clique generation deals with non-linearities in the data in a generic information theoretic manner reducing the necessity of user interaction during training.
Feature extraction plays an important role in the whole process of liver characterization. Because the ultrasonic scanner in use can be adjusted by different clinicians to produce optimal images, the ultrasound images...
详细信息
A general algorithm for eliminating interferential curve in text image was proposed, which converted images into basic graph and super graph firstly, and then treated interferential curve as principal curve to detect ...
详细信息
ISBN:
(纸本)0769523153
A general algorithm for eliminating interferential curve in text image was proposed, which converted images into basic graph and super graph firstly, and then treated interferential curve as principal curve to detect principal curve in image. In the detection, improved shortest path algorithm and orientation offset algorithm were used, and finally, the detected curve was removed from original image. Experiments conducted with a variety of text images showed that this algorithm is effective for removing interferential curve in text image.
This paper presents a new method of motion analysis of articulated objects from feature point correspondences over monocular perspective images without imposing any constraints on motion. The 3D joint positions of an ...
详细信息
ISBN:
(纸本)0769523722
This paper presents a new method of motion analysis of articulated objects from feature point correspondences over monocular perspective images without imposing any constraints on motion. The 3D joint positions of an articulated object are estimated within a scale factor using the connection relationship of two links over two or three images. Then, twists and exponential maps are employed to represent the motion of each link. Finally, constraints from image point correspondences are developed to estimate the motion. In the algorithm, the characteristic of articulated motion, i.e., motion correlation among links, is applied to decrease the complexity of the problem and improve the robustness. A point pattern matching algorithm for articulated objects is also discussed in this paper. Simulations and experiments on real images show the correctness and efficiency of the algorithms.
This paper presents a system of high precision road navigation map generation from CAD geographical map. First, get road curb line; then, pairing two road curb line built road, and computing road central line built ro...
详细信息
ISBN:
(纸本)0769523153
This paper presents a system of high precision road navigation map generation from CAD geographical map. First, get road curb line; then, pairing two road curb line built road, and computing road central line built road navigation vector; last, detecting intersection create intersection vector. By extensive experiments, the system has shown good efficiency and robustness.
暂无评论