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Image stitching are ideally suited for applications such as image stabilization, summarization, and the creation of panoramic mosaics. This paper proposes a approach to stitch images fast and with high quality.Image alignment algorithms can discover the correspondence relationships among images with varying degrees of overlap. In this process, they uses SIFT to look for the trait points, and uses...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
The grain size is an important quality index of granular materials. The accurate measurement of it has a guiding significance for technical performances and application of subsequent processing. Currently most of particle detection are done by manual operation such as screening method, which causes many problems as time-consuming measurement and lengthy testing steps. The particle size detection technology...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
This article describes the optimization real-time implementation of Viola & Jones face detection algorithm, based adaboost, on RISC processor combined with a genetic approach (called AdaBoost/GA). This algorithm detects the faces in image or video sequences, with rate detection about 97% on the basis of image CMU & MIT. In this work we present a study of the algorithm in terms of complexity...
Intelligent Computer Aided Diagnosis (CAD) Systems can be used for detecting Microcalcification (MC) clusters in digital mammograms at the early stage. CAD systems help radiologists in identifying tumor patterns in an efficient and faster manner than other detection methods. In this paper, we propose a new approach for detecting tumors in mammograms using Radial Basis Function Networks (RBFNN). Prior...
Palmprint identification is a subcategory of biometrics identification, which can be efficiently used to identify the people. Palmprint-based identification is currently a potential alternative to human identification method of a well known fingerprint-based identification. For example, if the hand of the identified person is dirty, the accuracy of fingerprint-based identification is distorted, while...
This paper presents an off-line signature verification system composed of a combination of several different classifiers. Identity authentication is a very important characteristics specially in systems that requires a high degree of security such as in bank transactions. In our experiments, one-class classifier was used to create a signature verification system, consequently only genuine signatures...
Multiscale Geometry Analysis consistent with the best features of the image representation, is effective for high dimensional function approximation and can use the image of the geometric regularity. In this article, we will mainly discuss the transformation of the Beam let based on Multiscale Geometry Analysis, formulate its theoretical basis, and by Matlab simulation results show the advantages...
Nonnegative Matrix Factorization (NMF) has been widely used in dimensionality reduction, machine learning, and data mining, etc. It aims to find two nonnegative matrices whose product can well approximate the nonnegative data matrix, which naturally lead to parts-based representation. In this paper, we present a family of projective nonnegative matrix factorization algorithm, PNMF with Bregman divergence...
Matching of partial fingerprints has important applications in both biometrics and forensics. It is well-known that the accuracy of minutiae-based matching algorithms dramatically decreases as the number of available minutiae decreases. When singular structures such as core and delta are unavailable, extended features can be utilized. The current Fingerprint matching technology is quite mature for...
In this paper, a new face detection algorithm based on fractal theory and complexion model is proposed. On the basis of the traditional face detection, the new algorithm estimated the fractal dimension of face area to exclude the non-face area and extract the face area fast and accurately. Furthermore, its calculation is simple and it can realize multi-angle detection in the complex background. As...
Basketball court detection is the key step of video annotation, however the court present different color when using different camera or in different play court. In this paper the adaptive Gaussian Mixture Model (GMM) is used to build the model of the basketball court, which is used in the basketball video annotation. The proposed algorithm extracts the main color of the court's main color using the...
A lot of image registration techniques have been developed with great significance for data analysis in medicine, astrophotography, satellite imaging and few other areas. This work proposes a method for medical image registration using Fast Walsh Hadamard transform. This algorithm registers images of the same or different modalities. Each image bit is lengthened in terms of Fast Walsh Hadamard basis...
The traditional Canny edge detector is designed to detect the edges of gray image, the color image must be converted to gray image, this method only uses the luminance information of color image, and don't take into account the chroma information, therefore, it misses some edges. In this paper, an improved Canny edge detector against impulsive noise based on CIELAB space is proposed, the color image...
Augmented reality aims to insert virtual objects in real scenes. In order to obtain a coherent and realistic integration, these objects have to be relighted according to their positions and real light conditions. They also have to deal with occlusion by nearest parts of the real scene. To achieve this, we have to extract photometry and geometry from the real scene. In this paper, we adapt high dynamic...
Lipreading is applied to synthesize speech for the speech-impaired people. To get a higher recognition result, data fusion with weighting coefficients at feature level is used to integrate the lip information from different kinds of lip features. Experiments are carried out based on HMM with different states and Gaussian mixture component in a small database for speaker-dependent case. Experiment...
Tracking multiple objects in surveillance scenarios involves considerable difficulty because of occlusions. We report a novel tracker - based on reliability tracking - that demonstrates superior performance under high degrees of occlusion. In our method, distinguishable features between the target and non-target are represented as the object's reliability. When the selected features are no longer...
Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two...
This paper proposes the method that makes an input target image into exaggerated cartoon-like images by using reference images. To deform a target image, we extract feature points from a target image and define the feature point model on reference images. And then, we apply feature based warping method to this deformation. For our result be felt more cartoonish, we additionally apply the luminance...
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