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Mechanomyographic (MMG) signal for prosthetic control has been investigated in recent years and encouraging results in hand-motion patterns identification have been achieved. In this paper, only two accelerometer sensors were used to record the MMG signal in the forearm of fourteen able-bodied people. A kernel generalized discriminant analysis and three linear dimension reduction techniques were applied...
A novel and efficient method for face recognition with only one training image is proposed in this paper. It combines both texture feature and global topological information, and merges different features with proper weightiness. Firstly, we partition facial images according to “Three courtyards and five eyes” theory. Secondly, LBP is used to exact texture feature, and then we choose variance for...
In this paper, the rotation invariants based on orthogonal Gaussian-Hermite moments are derived and a multi-scale image description by the invariants is proposed. An interesting fact is that these invariants can be obtained by substituting Gaussian-Hermite moments for the geometric ones in a rotation invariant derived from the geometric moments. So we could have a new set of rotation invariants from...
In this paper, we propose an Adaptive BlockThresh-old and Tight Frames Denoising (ABTTFD) using sub-block threshold for image denoising in wavelet do-main. The size of sub-block is equivalent to LLn where LL is the low frequency subband, n is the level of wavelet transform. The proposed thresholding called Block-Shrink is more efficient and adaptive because the threshold depends on wavelet coefficients...
This paper presents a simple method to segment JPEG2000 images based on the features extracted from the MQ table such that the burden of decompressing computations can be avoided. The feature vectors are segmented by using the modified CTM algorithm. In which, a rate-distortion based scheme is proposed to determine the parameter ε of CTM in an adaptive manner. Experimental results show that the modified...
In this paper, a new algorithm for edge detection was proposed. This method inspired by A. Bastürk's thoughts was formed, who proposed efficient edge detection using one neighbor CNN cloning template optimized by differential evolutionary algorithm. In order to consider interaction of more cells, and overcome solution's precocious phenomena, this paper extend one neighbor to two neighbors, and adopt...
This paper presents a method for the square detection based on distance distribution of the edge points of the image. The orientation line of the edge point is defined first, then for each pixel of the image, the distances between the pixel and the orientation lines of the edge points in the defined neighborhood of the pixel are computed to obtain the feature length and feature energy of the pixel,...
Face detection is a complicated and important problem in pattern recognition and also has wide application. Since Viola and Jones' work effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning. In this paper a face detection algorithm based on AdaBoost has been implemented, but we extract MB-LBP features instead of Haar...
A face clustering method based on facial shapes is proposed in this paper. In order to improve image retrieval efficiency in large database, a modified ISODATA clustering method is used to categorize faces into different classes using facial shape features. Firstly, face images are clustered into 7 classes according to face contour; secondly, in each face contour class, facial shape features including...
In recent years, with the development of the aerospace all over the world, the hypersonic aircraft who works in the near space plays an important role in the area. Its speed is quick, cruise altitude is high and penetration ability is strong, so it puts forward a new difficult problem to the whole world, the research of tracking technology also becomes more and more popular. According to this point,...
To extract the discrimination local structural features, an improved infrared face recognition method based on LBP is proposed in this paper. To get robust local features in infrared face, local binary pattern representation is applied to our method, instead of holistic feature extraction method. Based on the criterion of separability discriminant, pattern selection (PS) algorithm is proposed to get...
Recent advances in computer technologies in terms of both hardware and software have already made the development of an interactive 3D medical visualization system viable. Volume rendering as an important visualization technique can truly represent the information within the 3D datasets. However, it lacks of desirable interactivity. In order to deal with this problem, we introduce an interactive framework...
In order to address the shadow, shelter problems in image segmentation, a novel intensity-based model with shape prior constraint is proposed in this paper. Two dimensional principle component analysis (2D-PCA) approach and pre-image strategy are exploited to extract the shape prior. The obtained shape prior term is then incorporated into the intensity-based segmentation model to develop a new image...
Based on the fact that the human visual system is not only highly adapted for exacting structural features such as lines, edges, contours from the input images, but also has characteristics of multi-channel (multi-scale) information processing, a Multi-scale Structure SIMilarity(MSSIM) metric to assess image fusion algorithms is proposed. Compared with the existent single-scale assessment metrics,...
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