نتایج جستجو برای: the image classification

تعداد نتایج: 16152969  

al. et O. Rafieyan

This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...

Journal: :مهندسی بیوسیستم ایران 0
الهام عمرانی کارشناس ارشد بیوسیستم پردیس کشاورزی و منابع طبیعی دانشگاه تهران سید سعید محتسبی استاد گروه بیوسیستم پردیس کشاورزی و منابع طبیعی دانشگاه تهران شاهین رفیعی استاد گروه بیوسیستم پردیس کشاورزی و منابع طبیعی دانشگاه تهران سلیمان حسین پور استادیار بیوسیستم پردیس کشاورزی و منابع طبیعی دانشگاه تهران

in modern agriculture, image processing technique is used for mechanization and intelligent machines instead of humans. one of them is identifying varieties of plants and fruits. identifying plant varieties is important in plant eugenic programs. visual examination of plant leaves and fruits are the common processes for this aim. identification and classification of plants using machine vision ...

Journal: :journal of medical signals and sensors 0
nooshin jafari fesharaki hossein pourghassem

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

Remote sensing image analysis can be carried out at the per-pixel (hard) and sub-pixel (soft) scales. The former refers to the purity of image pixels, while the latter refers to the mixed spectra resulting from all objects composing of the image pixels. The spectral unmixing methods have been developed to decompose mixed spectra. Data-driven unmixing algorithms utilize the reference data called...

Schlieren imaging in wind-tunnels is extensively utilized to study the effects of air on an airplane surface. One of the interesting subjects for research is to study the effects of speed change on the airplane surface. Speed change results in occurrence of shock waves, which are visualized as lines on Schlieren images. In this paper, we study the problem of detecting speed of a plane after occ...

Journal: :international journal of smart electrical engineering 2012
sepideh araban fardad farokhi kaveh kangarloo

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Journal: :journal of biomedical physics and engineering 0
s amiri department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran mm movahedi department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran k kazemi department of electrical and electronics engineering, shiraz university of technology, shiraz, iran h parsaei department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran

background: brain tissue segmentation for delineation of 3d anatomical structures from magnetic resonance (mr) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (gm), white matter (wm) and cerebrospinal fluid (csf), but only if the obtained segmentation results are correct. due to image arti...

کیوان پور, محمد رضا, مقدم چرکری, نصراله ,

Content-based image retrieval (CBIR) has received considerable research interest in the recent years. The basic problem in CBIR is the semantic gap between the high-level image semantics and the low-level image features. Region-based image retrieval and learning from user interaction through relevance feedback are two main approaches to solving this problem. Recently, the research in integra...

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