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In this paper, we examined the effectiveness of deep convolutional neural network (DCNN) for food photo recognition task. Food recognition is a kind of fine-grained visual recognition which is relatively harder problem than conventional image recognition. To tackle this problem, we sought the best combination of DCNN-related techniques such as pre-training with the large-scale ImageNet data, fine-tuning...
Wireless capsule endoscopy (WCE) is a revolutionary imaging technique that enables direct inspection of the gastrointestinal tract in a non-invasive way. However, viewing the large amounts of images is a very time-consuming and labor intensive task for clinicians. In this paper, we propose an automatic bleeding detection method in the WCE images. We propose a two-stage saliency map extraction method...
One of the common methods in the area of combating with malwares is the use of opcodes-sequence exist in the malwares' assembly code. In this study, a new method has been used based on the structural classification of opcodes to detect malwares and its efficiency has also been put into investigation compared to the opcodes method. For this purpose, two different methods are to be applied for eliciting...
In this paper we propose a method to add scale-invariance to line descriptors for wide baseline matching purposes. While finding point correspondences among different views is a well-studied problem, there still remain difficult cases where it performs poorly, such as textureless scenes, ambiguities and extreme transformations. For these cases using line segment correspondences is a valuable addition...
To solve the problem of accuracy and robustness seriously affected by the external environment when loop-closing using vision for mobile robot, a method based on RGB-D image for loop-closing detection is proposed. The front area contour which will be used for contour matching is extracted from the depth information. Then Image matching between similar scenes of candidates is done Using PCA-SIFT descriptors,...
A novel method using "color drop-out" for document images with "color shift" is proposed. Color shift phenomena sometimes occur in document images captured by a camera device or stand type scanner. It adversely affects the binarization and character recognition processes, because it generates pseudo color pixels on scanned image, which do not exist on the original document. To...
Chart images in digital documents are an important source of valuable information that is largely under-utilized for data indexing and information extraction purposes. We developed a framework to automatically extract data carried by charts and convert them to XML format. The proposed algorithm classifies image by chart type, detects graphical and textual components, extracts semantic relations between...
Images are powerful means of communication. Adding images to documents, websites, magazines, helps attracting the attention and providing an immediate feeling about the content of the document itself. At the same time, images can be used to influence the attitude of the reader. In the digital era it is easier than ever to create and share multimedia documents making extensive use of visual data. Furthermore,...
Considering the characteristic that the nucleus and the nucleolus have no obvious boundary, this paper presents a fast level set method which is based on the overall information of an image to extract the nucleolus from the prostate nucleus. We pre-process the three-dimensional colorful prostate image at first, making the nucleolus (target) distinct to the surrounding environment (background) at the...
Methods for video copy detection are typically based on the use of low-level visual features. However, low-level features may vary significantly for near-duplicates, which are video sequences that have been the subject of spatial or temporal modifications. As such, the use of low-level visual features may be inadequate for detecting near-duplicates. In this paper, we present a new video copy detection...
How to rapidly capture the wanted video data at the sea video database is the currently hot research topic. This paper put forward to an algorithm based on artificial intelligence for video retrieval; the results of experiment had been given and compared with key frame-based video retrieval (KFVR). The retrieval precision of our algorithm is higher than KFVR about 4%.
This paper proposes a method to detect the macula in the retinal fundus image automatically. The method makes use of the optic disc height obtained from the ARGALI to define the region of interest. Regions of dark spots are then detected by finding the coordinates with the lowest pixel intensity and determining the average pixel neighbourhood intensities. These regions are ranked to determine the...
As image spam becomes widespread and does a lot of harm, it is more important to filtering such spam effectively for now. Low accuracy rate and poor recognition of obfuscation techniques are main defects of current anti-image-spam technologies. For solving those problems, this paper proposes a new image spam near-duplicate detection system, applying image object semantics extraction to filter spam...
This paper presents a novel study of the classification of large-scale Mars McMurdo panorama image. Three dimensionality reduction techniques, based on fuzzy-rough sets, information gain ranking, and principal component analysis respectively, are each applied to this complicated image data set to support learning effective classifiers. The work allows the induction of low-dimensional feature subsets...
The process of creating photorealistic 3-dimensional computer graphic (3DCG) images is divided into two stages, i.e., modeling and rendering. Automatic rendering has gained popularity, and photorealistic rendering is generally used to render different types of images. However, professional artists still model characters manually. Moreover, not much progress has been achieved with regard to 3-D shape...
This paper tried to introduce the outstanding forecasting researches based on grey theory and rough set theory. It explained the reasons why these two theories can be applied into the study of fashion colours prediction. It also described the outstanding relevant researches under these two theories. Then it discussed the problems existed in the current researches. Finally, this paper provided future...
The paper introduces an absolute orientation detection method for spherical motor based on machine vision. The code generation algorithm, image processing algorithm, image matching algorithm and the method of deriving the orientation of the rotor using unit quaternion are presented. The color pattern painted on the surface of the rotor and camera model are simulated in OpenGL .With the machine vision...
In this paper, we describe the design of a mosaicing technique for images from a microscope system with automatically controlled object stage and image capture unit. Due to the limited field of view in microscope imagery, larger objects are split up into many adjacent, but slightly overlapping frames. In many fields, such as medicine or biology, it is vastly beneficial that these image patches are...
This paper focuses on researches related to medical digital imaging of endoscopic gastritis. It provides suffice information on endoscopic procedure and types of gastritis. Besides that, it also briefly addressed feature extraction methods. Feature selection and Multiple Instance Learning (MIL) concept are also reviewed. As a conclusion, this paper become a basis to propose an improved artificial...
The application of geoagent in RS image have been studied in the paper. Samples of carbonate rocks were scanned into rock images. By analysing these samples of carbonate rocks, a new arithmetic model of geoagent was chosed and a standard curve of carbonate rocks by the arithmetic model can be gotten. Rs images were divided into grids. There are curves by the arithmetic in grids. The standard curve...
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