نتایج جستجو برای: image classification

تعداد نتایج: 827644  

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2004

Journal: :پژوهش های جغرافیای طبیعی 0
مژگان احمدی ندوشن علیرضا سفیانیان سیدجمال الدین خواجه الدین

land cover map is important for many urban planning and management activities. in this study, in order to produce land cover map of arak city, digital image of liss-iii scanner acquired on 16 june 2006 were employed. first of all, geometric correction with rmse 0.58 pixel was applied. considering the mountainous condition of the study area, topographic correction was applied to the image. in su...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید بهشتی - دانشکده مهندسی برق و کامپیوتر 1389

چکیده ندارد.

Journal: :the modares journal of electrical engineering 2006
hosein nezamabadi-pour ehsanollah - kabir

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

Journal: :روش های عددی در مهندسی (استقلال) 0
محمدحسن قاسمیان یزدی m. h. ghassemian yazdi

manual fingerprint classification algorithms are very time consuming, and usually not accurate. fast and accurate fingerprint classification is essential to each afis (automatic fingerprint identification system). this paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. a new structural algorit...

Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

In the past three decades, the use of smart methods in medical diagnostic systems has attracted the attention of many researchers. However, no smart activity has been provided in the field of medical image processing for diagnosis of bladder cancer through cystoscopy images despite the high prevalence in the world. In this paper, a multilayer neural network was applied to clas...

A R Mehdizadeh F Tajeripour L Khojastepour M Ghasemi M Hasani

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and relatively routine imaging technique in dentistry; it could provide an opportunistic chance for screening osteoporosis. In this regard, numerous...

Journal: :پژوهش های علوم و صنایع غذایی ایران 0
saeideh fayyazi mohammad hossein abbaspour-fard abbas rohani hasan sadrnia s. amir hasan monadjemi

due to variation in economic value of different varieties of rice, reports indicating the possibility of mixing different varieties on the market. applying image processing and neural networks techniques to classify rice varieties is a method which can increase the accuracy of the classification process in real applications. in this study, several morphological features of rice seeds’ images we...

Journal: :journal of agricultural science and technology 2010
m. naderi khorasgani m. de dapper

this research was performed to evaluate the potentials of landsat mss data for map-ping land features in arid zones of southeastern esfahan, iran. databases of the area were formed using all available relevant maps and reports which were supported by fieldwork. a supervised image classification approach was used and thirty-two training areas were applied. separability of the spectral classes wa...

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