نتایج جستجو برای: الگوریتم glcm
تعداد نتایج: 23328 فیلتر نتایج به سال:
For diagnosis of lung tumors, CT scan of lungs is one of the most common imaging modalities. Manually identifying tumors from hundreds of CT image slices for any patient may prove to be a tedious and time consuming task for the radiologists. Therefore, to assist the physicians we propose an automatic lung tumor detection method based on textural features. The lung parenchyma region is segmented...
In this paper, scale invariant texture classification method based on Fuzzy logic is developed. It is applied for the classification of texture images. Two types of texture features are extracted one using Discrete Wavelet Transform (DWT) and other using Gray Level Co-occurrence matrix (GLCM). Two features are obtained from each sub-band of DWT coefficients up to fifth level of decomposition an...
The Panoramic Dental X-ray image is an important tool for a thorough dental examination. These X-ray images suffer from poor contrast because of the luminance non-linearity introduced by medical imaging techniques. Hence an automatic method of image enhancement of panoramic X-ray image is essential. A novel method of improving the quality of these images is determined based on gamma correction ...
In this paper, a new fusion texture feature with orthogonal polynomials based multiresolution subband and the Gray Level Co-occurrence Matrix (GLCM) is presented. The proposed orthogonal polynomials based multiresolution subband coefficients posses the localized frequency information and the GLCM matrices capture the structural and statistical properties from the subband coefficients for charac...
Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of histogram of gray-level co-occurrence matrix (GLCM) that is based on second-order statistics and propose a new machine vision algorithm for automat...
Computer aided diagnosis systems provide vital opinion to radiologists in the detection of early signs of breast cancer from mammogram images. Architectural distortions, masses and microcalcifications are the major abnormalities. In this paper, a computer aided diagnosis system has been proposed for distinguishing abnormal mammograms with architectural distortion from normal mammogram. Four typ...
The brain is one of the important organs in human body. It controls functions such as vision, hail, memory, knowledge, personality, and difficulty at work. Numerous health associations have rated tumors an alternative major imbalance that causes highest number deaths worldwide. Diagnosis undiagnosed tumor provides opportunity for effective medical treatment. At diagnosis, a shows growth extra c...
In this paper we present a new fusion technique to increase the information content of the fused image. We propose information fusion by maximizing the wavelet entropy using windowing technique. It helps to diagnose the diseases like tumor, cancer ...etc effectively. The images are decomposed by wavelet transform and using maximum selection rule the low frequency and high frequency bands are fu...
به منظور نظارت بر نحوه گسترش شهر و تغییرات بر محیط زیست، طبقه بندی پوشش زمین یک چالش و همچنین کار ضروری است. در این پروژه روشی ترکیبی جهت بخش بندی و طبقه بندی تصاویر sar نواحی شهری ارائه شده است.برای طبقه بندی این تصاویر، طبقه بندی کننده های knn و svm به کار گرفته شده اند.در روش پیشنهادی، دو دسته ویژگی های نوع اول و ویژگی های نوع دوم برای آموزش طبقه بندی کننده در نظر گرفته شده اند. برای محاسبه ...
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