نتایج جستجو برای: 1 data and image texture features and boosted tree classifiers
تعداد نتایج: 17523024 فیلتر نتایج به سال:
Heterogeneous features of thyroid nodules in ultrasound images is very difficult task when radiologists and physicians manually draw a complete shape of nodule, size and shape, image or distinguish what type of nodule is exist. Segmentation and classification is important methods for medical image processing. Ultrasound imaging is the best way to prediction of which type of thyroid is there. In...
We propose a novel image registration framework which uses classifiers trained from examples of aligned images to achieve registration. Our approach is designed to register images of medical data where the physical condition of the patient has changed significantly and image intensities are drastically different. We use two boosted classifiers for each degree of freedom of image transformation....
In literature, features based on First and Second Order Statistics that characterizes textures are used for classification of images. Features based on statistics of texture provide far less number of relevant and distinguishable features in comparison to existing methods based on wavelet transformation. In this paper, we investigated performance of texture-based features in comparison to wavel...
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
چکیده هدف اصلی این پژوهش تعیین رابطه استراتژیهای خود رهبری و خلاقیت اعضای هیات علمی دانشگاه علم و صنعت بوده است. در این پژوهش از روش توصیفی از نوع همبستگی استفاده شده است. جامعه آماری پژوهش کلیه اعضای هیات علمی دانشگاه علم و صنعت در سال تحصیلی 88-1387 بود که بالغ بر345 نفربودندو از این تعداد، 119 نفر استاد با استفاده از روش نمونه گیری تصادفی طبقه ای متناسب با حجم انتخاب شد. ابزار جمع آوری داده...
Classification of iris templates based on their texture patterns is one of the most effective methods in iris recognition systems. This paper proposes a novel algorithm for automatic iris classification based on fractal dimensions of Haar wavelet transforms is presented. Fractal dimensions obtained from multiple scale features are used to characterize the textures completely. Haar wavelet is ap...
In this paper we report results from unsupervised texture image classification on a data set of images collected with our intelligent machine vision system for pattern recognition (assuming no a priori human vision expert knowledge is available for the image classes). The simulation of the investigated system includes four main phases: data collection and feature extraction, feature analysis, c...
Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features can help classify thermographic images as cancerous or healthy. Method: In this descriptive-analytical study, the images were taken from the IC/UF...
Land cover mapping provides basic information for advanced science such as ecological management, biodiversity conservation, forest planning and so on. In remote sensing research, the process of creating an accurate land cover map is an important subject. Recently, there has been growing research interest in the object-oriented image classification techniques. The object-oriented image classifi...
چکیده هدف اصلی این پژوهش بررسی رابطه بین شایسته سالاری و عدالت سازمانی مدیران دانشگاه اصفهان و علوم پزشکی اصفهان بود که در قالب 5 فرضیه با در نظر گرفتن ابعاد شایسته سالاری و عدالت سازمانی مدیران دانشگاه اصفهان و علوم پزشکی انجام شد. روش پژوهش توصیفی از نوع همبستگی می باشد. جامعه آماری کلیه اعضای هیأت علمی و مدیران گروه در دانشگاه اصفهان و علوم پزشکی اصفهان به ترتیب 104- 645 – 33- 468 نفر در س...
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