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Hairstyle recognition is a challenging task since hairstyles span a diverse range of appearances in real-world. However, it is possible to start from recognizing the most basic hairstyles then dealing with more complex hairstyles. In this paper, we present a novel hairstyle pattern recognition system based on CNNs. We first give the definitions of four basic hairstyles: straight hairstyle, curly hairstyle,...
This paper discusses a possible implementation of the integration of knowledge from a probabilistic ontology in the automatic description of images. This combination not only provides the relations existing between the different segments, but also improve the classification accuracy, as the context often gives cues suggesting the correct class of the segment.
During the past five years, many researchers have developed different approaches to the classification of images, which are used for a variety of scientific tasks [1, 2, 3 and 4]. The research is aimed at solving task of classification of three-dimensional objects by the images of their projections in systems of automatic recognition of randomly located parts and products in the industrial belt. This...
The identification problem of artificial or natural objects in underwater images is considered in this paper. Any object (including a previously received image) with unequivocally determined contours can be used as a pattern. Recognition of the required object is made by an exhaustive search of key points or small pieces of borders with a subsequent increase of accumulator cells. Processing of real...
In this paper, we propose a Vehicle Logo Recognition (VLR) approach which uses moment invariant for feature extraction. Moment invariants and Minimum-Mean Distance (MMD) classifier are adopted to recognize six different types of vehicle logos from a public dataset. Vehicle logos obtained from coarse and fine segmentation, are recognized using Tchebichef and Legendre moment invariants. In either coarse...
License plate recognition (LPR) is investigated as a promising automation technique for transportation system, for instance, automatic billing system for electronic parking lots, snapshot system of traffic violation, etc. Support Vector Machine (SVM) is a typical method for pattern recognition, and it works efficiently for traditional vehicle plate recognition systems, which process the vehicle images...
3D scene understanding is an open challenge in the field of computer vision. Most of the focus is on 2D methods in which the semantic labeling of each RGB pixel is considered. But, in this paper, the 3D semantic labeling of RGB-D images is considered. In the proposed method, to extract some meaningful features, the superpixel generation algorithm is applied to the RGB image to segment it into a set...
Local binary pattern (LBP), which efficiently summarizes the local structure of images has been very successful in image retrieval applications. In this paper, we propose a Local Smoothness Pattern (LSP) for image retrieval applications which captures the smoothness over the curve directions in a local region. To compare its performance, this technique is applied to a database of 1180 sub-images from...
Much is still unknown about marine plankton abundance and dynamics in the open and interior ocean. Especially challenging is the knowledge of gelatinous zooplankton distribution, since it has a very fragile structure and cannot be directly sampled using traditional net based techniques. In the last decades there has been an increasing interest in the oceanographic community toward imaging systems...
Image registration is central problem to many tasks in digital image processing and therefore it has a vast range of applications. A scheme of automatic image registration based on plain objects detection and recognition in remote sensing tasks is presented in this paper. It relates to the concept of plain object in image and includes three subsystems. A subsystem of plain objects detection in image...
Cell behaviors including adhesion, migration, proliferation, differentiation and apoptosis, etc. deeply influence tissue formation, regeneration, and even the function of whole tissue or entity. Optically-induced electrokinetic (OEK) patterning is an efficient method to guide cells to grow and form the desired structure on a substrate and hence becomes an effective approach to the study of cell behaviors...
This paper presents a survey on sclera-based biometric recognition. Among the various biometric methods, sclera is one of the novel and promising biometric techniques. The sclera, a white region of connective tissue and blood vessels, surrounds the iris. A survey of the techniques available in the area of sclera biometrics will be of great assistance to researchers, and hence a comprehensive effort...
For the problem of low resolution, camera movement and target's detail fuzzy in aerial video when detecting and recognizing pedestrian, this paper proposes weighted region matching algorithm based on saliency detection and Kalman filter(KS-WRM). In the preprocessing stage, the KS-WRM algorithm uses saliency detection algorithm, which adds human subjective consciousness to segment pedestrians. The...
In the marine environment, the underwater images would have low SNR and the detail is fuzzy due to scattering and absorption of a variety of suspended matter in sea water and the water itself. For the three types of characteristic marine targets, the novel moments called Pseudo-Zernike boundary moments are proposed. By expanding the scope of the calculation to any rectangle and the use of fast algorithm...
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. In this paper an attempt is made to recognize handwritten characters for English alphabets without feature extraction...
This paper detects Indian coins of different denomination. The spiraling business transaction at vending machines and automated systems working on token have spurred better coin recognition techniques saddled with increased robustness.These techniques facilitate transaction making it easier in all forms of trade. Keeping all the essential factors in mind a system has been created which recognizes...
The objective of this paper is to propose an adaptive threshold method based on peak signal to noise ratio (PSNR). Nowadays, PSNR has been widely used as stopping criteria in multi level threshold method for segmenting images. Alternatively, we apply the PSNR as criteria to find the most suitable threshold value. We evaluate this proposed method on license plate recognition application. At the same...
Image segmentation is critical to image processing and pattern recognition, An image segmentation system is proposed for the segmentation of color image based on neural networks. First, we introduce BP Neural network, it has the capacity of parallel computing, distributed saving, self-studying, fault-to-learnt and nonlinear function approximating. So it widely used in image segmentation, but it also...
The multilevel thresholding is an important technique for image processing and pattern recognition. The maximum entropy thresholding has been widely applied in the literature. In this paper, a new multilevel MET algorithm based on the technology of the firefly algorithm is proposed. This proposed method is called the maximum entropy based firefly thresholding method. Four different methods are implemented...
This paper addresses concealed object detection by passive millimeter wave (MMW) imaging. Passive MMW imaging penetrates into clothing to capture metal and man-made objects. In this paper, we propose a multi-level expectation maximization (EM) method to separate the concealed object from the body area. The performance is evaluated by the average probability of error. We will show that the proposed...
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