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This paper presents an optimized descriptor method for multispectral images. The method proposed is based on LGHD (Log-Gabor Histogram Descriptor)[1]. Initially, all feature points are detected from Long wave Infrared and Visible spectrum images, and descripted by LGHD, then PCA (Principal Component Analysis) is used to reduce the dimension of the two different descriptors, finally the optimized descriptors...
In a lip-reading system, one key issue is how to extract effective visual features, which greatly impact on the lip-reading recognition accuracy and efficiency. In this paper, we propose a method of feature extraction of lip-reading which is based on joint geometry and gray-level histogram model. The joint model combines the advantages of geometry and gray-level histogram together, which shows a good...
The Earth observation optical image is considered as the excellent applicant to extract the Earth's surface information. Cloud cover is a spectacular problem for land surface analysis. False detection and analysis typically results from even small percentages of cloud cover. Therefore knowing the percentage of cloud in the image is constructive for the user to allow for selection of those images that...
Attenuation caused by trees should be estimated for the purpose of high altitude platforms link design. Thus, the knowledge of vegetation depths for different tree types (conic, ellipsoid, spherical, hemispherical) and elevation angle distributions in a coverage area is required. For this purpose, bivariate histogram of vegetation depths and probability density function of elevation angles are calculated...
In this paper we consider the problem of automatic tracking for targets in complex natural backgrounds. The background elements can mask the target for a while. Target has a low contrast relatively to the background, moreover, some background elements and target can have the same brightness. Target detection in each frame of the video sequence is proposed by using its shape. The target shape is formed...
Nowadays, the uses of reusable materials can be seen everywhere. Plastic material is one of the most popular recycled products, particularly plastic bottles made of PET (Polyethylene Terephthalate) and non-PET. Classification of plastic bottle types is necessary and is the first step for plastic bottles recycling processes. Thus, this paper presents multiple correlation method for classifying types...
It has very important practical significance to analyze and research minority costume from the perspective of computer vision for minority culture protection and inheritance. As first exploration in minority costume image retrieval, this paper proposed a novel image feature representation method to describe the rich information of minority costume image. Firstly, the color histogram and edge orientation...
Recognition of shapes in the three dimensions is a challenging task when point clouds are at the input. Recognition from partial pieces is another challenging task in general. Recognizing objects from partial 3D data is a strong need in industrial automation, autonomous driving, cooperative robot systems including machine-machine and machine-human interactions and in surveillance. This papers investigates...
A novel method for shape context realization has been presented in this paper and specific application of it in hand-drawn character recognition has been shown. In preprocessing stage, the endpoints of the digital straight line segments defining the object boundary are extracted. The four vertices of the minimum area rectangle bounding these extracted points are used as the reference points for shape...
Coin segmentation, or separating the coin area from its background, is inevitably the first step in any robust classification method. Yet, the fact that almost every research relies exclusively on grayscale images taken in controlled environments, with uniform illumination and backgrounds, wastes a vast asset of images commonly taken by numismatists, sellers and collectors. Admittedly, very often...
Travelers, sailors and research people working in sea environment are facing lot of challenges. One such challenge is salt water crocodile. In general, crocodiles are seen in fresh water like lake and river. Nowadays it is migrated to salt water. These salt water crocodiles are serious threat to travelers and sailors. This issue is addressed through solution like Ocean Observation System (OOS), which...
Retrieving images from the large amount of database based on their content are called content based image retrieval. It is a basic requirement of retrieve the relevant information from huge amount of image database according to query image with better system performance. Color and shape feature of image is most widely used feature to analyze the image. In this paper, proposed method is integrating...
In this paper, we introduce a new color image segmentation by using superpixels as feature representation and Manhattan Nonnegative Matrix Factorization (MahNMF) for accurate segmentation. Firstly, the image pixels are grouped into superpixels and considered as the coarse features. The next step is then conducted by factorizing the matrix feature into two nonnegative matrices, which respectively imply...
In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances of each branch node to all other branch nodes in the graph. Then similarity rates between these distributions is found by using a transportation-based distance function. Finally, we compared...
We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.
The aim of this paper is to present a hand gesture recognition approach in static hand posture images. The major steps of the work includes (a) segmentation of hand region from rest of the image, (b) formation of saliency image (c) feature extraction using Gabor filter and Pyramid histogram of oriented gradients (PHOG). The YCbCr color model is used to detect the skin region of the hand, whereas the...
In this work, we exploit 3D Constrained Local Model (CLM) for facial landmark detection. Our approach integrates the geometric information of 3D face scans. The fast increase demand of 3D data invite to develop 3D image processing methods for many applications and especially for automatic landmark detection. The new step in this paper is the introduction of mesh histogram of gradients (meshHOG) as...
Video surveillance systems generate enormous amounts of data which makes the continuous monitoring of video a very difficult task. Re-identification of subjects in video surveillance systems plays a significant role in public safety. Recent work has focused on appearance modeling and dis- tance learning to establish correspondence between images. However, real-life scenarios suggest that the majority...
The description of vehicle appearance in Wide Area Motion Imagery (WAMI) data is challenging due to low resolution and renunciation of color. However, appearance information can effectively support multiple object tracking or queries in a real-time vehicle database. In this paper, we present a systematic evaluation of existing appearance descriptors that are applicable to low resolution vehicle reidentification...
Counting of Red Blood cell (RBC) is a significant measure that helps to diagnose specific diseases. Manual pathological RBCs counting process by experienced specialist is extremely tedious, time consuming, and imprecise which may be prone to high chance of error. Due to recent advancement, automated detection of red blood cell using image processing techniques is gaining popularity. In order to increase...
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