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Under the environment of big data, retrieval becomes a crucial technology and image retrieval is paid more attention and widely used. The paper proposes a second-order retrieval algorithm, of which can be used to retrieval the similar images. Firstly, extracting image sift features. Then, build frequency table of characteristic words by k-means clustering and bag of word algorithm. Finally, based...
The construction of statistical shape model (SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical structures. Place-march of corresponding landmarks is one of the major factors influencing 3D SSM quality. In this paper, we present a supervised correspondence method for fast building SSM, which includes two main steps, i.e., surface data...
The function of visual attention mechanism is to acquire the useful visual information at the fastest speed. The Itti visual attention model commonly used at present has achieved good effects in natural image. In order to find the region of interest as soon as possible, this paper attempts to introduce visual attention mechanism into pulmonary nodules detection. However, the Itti model is more to...
In order to reduce the image matching errors caused by many factors, the method based on k nearest neighbors support feature points was proposed. When ratio is little, get the support feature set by Scale Invariant Feature Transform and choose the k nearest neighbor (KNN) points from the set as the supporters. According to the similarity of supporters around the matching point, determining the matching...
This paper presented a SIFT based multiple instance learning algorithm to deal with the problem of pose variation in the tracking process. The MIL algorithm learns weak classifiers by using instances in the positive and negative bags. Then, a strong classifier is generated by powerful weak classifiers which are selected by maximizing the inner product between the classifier and the maximum likelihood...
Face recognition is a typical application of biometrics identification technologies, which requires specific methods to obtain face representation as its features. In this paper, we apply a simple yet highly reliable method called Vector Quantization (VQ) to extract the features. Although VQ algorithm has been proven effective, the inability of VQ histogram features to convey spatial structure information,...
The exponential growth of online videos imposes urgent demands on near-duplicate video detection. Near-duplicate keyframe detection is at the base of near-duplicate video detection. In this paper, based on the analysis of the state-of-the-art of near-duplicate keyframe detection, GrayScale Pyramid (GSP) is processed for improving the global feature of color histogram. By constructing the spatial pyramid...
Filtering normal papanicolaou smear using computer-aided system can help clinical doctors to detect cervical cancer. In this paper, we propose a scheme to classify cervical cells as normal or abnormal. The pipeline includes preprocessing, perinuclear area extraction, feature extraction and multi-instance learning (MIL). We tried and compared several feature extraction methods, including textural features,...
This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection...
Color is one of the most important cues for image content analysis. However, there is often a color cast between the real color of objects and the acquired color by imaging device. In order to detect color cast accurately, the color cast feature base on Lab chromaticity histogram is improved in this paper. On the basis of classic equivalent circle (EC) feature and NNO (Near Neutral Objects) region...
With the development of stone processing and sales, effective stone surface texture image recognition methods are needed. We proposed a new stone surface texture image recognition method based on texture and colour. We combine the following visual features: Gabor features which can well simulate the single cell sensing profile of mammalian visual neurons, The Grey-level Co-occurrence Matrices(GLCM)...
A realistic challenge in neuroanatomy is to assist radiologists to detect the brain neoplasm at an early stage. This paper presents a fast and accurate Computer Aided Diagnosis (CAD) system based on selective block based approach for neoplasm (tumor) detection from T2-weighted brain MR images. The salient contribution of the presented work lies in a fast discrimination using selective block based...
Existed algorithms to detect constructing vehicles intrusion in order to prevent power grid transmission line from damage by using video/image processing can only detect constructing vehicles in a single color. In this paper, a new algorithm to detect invasive constructing vehicles based on BOW presentation model is proposed. Firstly, Gaussian fuzzy operation is imposed on the image and Gaussian mixture...
In order to further improve the recognition rate and computing efficiency of modular 2DPCA in face recognition, an improved modular 2DPCA method based on image segmentation is proposed. Firstly, segmentation of threshold value optimization is utilized to segment face image of training samples into several non-overlapping sub-image spaces so that the pixel number has uniform distribution in each sub-image...
Many features have been proposed for person re-identification, but most of them are the combination of several different kinds of single features. And there is no research about what role the single features play and which can be fused together to improve the performance. In this paper, we explore eight single features (four colors, two textures, two gradients) and their fusions. Evaluations are conducted...
The use of multisensors images for different applications, like change detection and image fusion, require an image to image registration. Actually, the image registration becomes a crucial task with the continuous increase in image resolution, especially in urban area. In this paper, a refined automatic Mutual Information based registration approach of spaceborne Synthetic Aperture radar (SAR) and...
In this paper, we propose an affine invariant image matching algorithm, which is based on the well-known SIFT algorithm. Firstly, we use MSER algorithm to detect affine invariant feature regions. Then covariance matrix of an image patch is used to transform anisotropic patches into isotropic patches by rotating and squeezing. Finally, the affine invariant key points on isotropic patches are detected...
Comparing Unmanned Aerial Vehicle (UAV) video image patches is a fundamental task in UAV video image processing. The main difficulty lies in the wide variety of appearance changes in images taken under different UAV imaging conditions, such as jitter, changing points of view, frequent undefined motion, illumination changes and etc. The usual algorithms which are based on the hand-craft features and...
Early detection of breast cancer plays an important role in reducing the mortality rate of the disease. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast is especially robust for the diagnosis of cancer in high risk women due to its high sensitivity. Despite excellent sensitivity of DCE-MRI, there is still some difficulty in the prediction of malignancy because of the lack...
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