نتایج جستجو برای: patterns recognition
تعداد نتایج: 647841 فیلتر نتایج به سال:
The recognition of main urban elements, specially the holy monuments, have had changed a lot in the image of the Islamic city since past to present. Façade, height and position of building are some of the ways of making recognition. In each period, some of the buildings with specific activities are recognized. Buildings which was mosque, bazaar, monastery, tomb, bath, reservoir, mounth, school ...
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
Texture analysis and classification are some of the problems which have been paid much attention by image processing scientists since late 80s. If texture analysis is done accurately, it can be used in many cases such as object tracking, visual pattern recognition, and face recognition. Since now, so many methods are offered to solve this problem. Against their technical differences, all of the...
Plant immune responses are triggered by pattern recognition receptors that detect conserved pathogen-associated molecular patterns (PAMPs) or by resistance (R) proteins recognizing isolate-specific pathogen effectors. We show that in barley, intracellular mildew A (MLA) R proteins function in the nucleus to confer resistance against the powdery mildew fungus. Recognition of the fungal avirulenc...
From the past decades, Face recognition is a challenging problem in the area of computer vision, pattern recognition and image analysis. It is a biometric technique used to identify and verify the human face. Face has many different characteristic due to which face of one person very form other. The variation in the human face mostly include lightning change effect, pose variation, facial expre...
Image retrieval is one of the main topics in the field of computer vision and pattern recognition. Local descriptors are gaining more and more recognition in recent years as these descriptors are capable enough to identify the unique features, which suitably and uniquely describe any image for recognition and retrieval. One of the popular and efficient frame works for capturing texture informat...
This paper presents a novel automatic face recognition approach based on local binary patterns (LBP). LBP descriptor considers a local neighbourhood of a pixel to compute the features. This method is not very robust to handle image noise, variances and different illumination conditions. In this paper, we address these issues and extend the original LBP operator by considering more pixels and di...
Article history: Received 25 October 2015 Received in revised form 28 March 2017 Accepted 13 May 2017 Available online 31 May 2017 In this paper, we propose a robust local descriptor for face recognition. It consists of two components, one based on a shearlet-decomposition and the other on local binary pattern (LBP). Shearlets can completely analyze the singular structures of piecewise smooth i...
β-glucans are cell wall constituents of bacteria, yeast, fungi, and plants. They are not expressed in mammalian cells, but they are recognized by mammalian cells as pathogen-associated molecular patterns by pattern recognition receptors and thus act as biological response modifiers. This review summarizes data on the hematopoiesis-stimulating effects of β-glucans, as well as on their ability to...
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