Electronic Resource
Haralick Texture Features Expanded Into The Spectral Domain
| العنوان: | Haralick Texture Features Expanded Into The Spectral Domain |
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| المؤلفون: | NAVAL POSTGRADUATE SCHOOL MONTEREY CA, Puetz, Angela M, Olsen, R C |
| المصدر: | DTIC |
| بيانات النشر: | 2006-01 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Robert M. Haralick, et. al., described a technique for computing texture features based on gray-level spatial dependencies using a Gray Level Co-occurrence Matrix (GLCM)1. The traditional GLCM process quantizes a gray-scale image into a small number of discrete gray-level bins. The number and arrangement of spatially co-occurring gray-levels in an image is then statistically analyzed. The output of the traditional GLCM process is a gray-scale image with values corresponding to the intensity of the statistical measure. A method to calculate Spectral Texture is modeled on Haralick's texture features. This Spectral Texture Method uses spectral-similarity spatial dependencies (rather than gray-level spatial dependencies). In the Spectral Texture Method, a spectral image is quantized based on discrete spectral angle ranges. Each pixel in the image is compared to an exemplar spectrum, and a quantized image is created in which pixel values correspond to a spectral similarity value. Statistics are calculated on spatially co-occurring spectral-similarity values. Comparisons between Haralick Texture Features and the Spectral Texture Method results are made, and possible uses of Spectral Texture features are discussed. Published in the Proceedings of SPIE, v6233, 2006. |
| مصطلحات الفهرس: | Statistics and Probability, Cybernetics, SPATIAL DISTRIBUTION, IMAGE PROCESSING, IMAGES, TEXTURE, HARALICK TEXTURE FEATURES, GLCM(GRAY LEVEL CO-OCCURRENCE MATRIX), Text |
| URL: | |
| الاتاحة: | Open access content. Open access content Approved for public release; distribution is unlimited. |
| ملاحظة: | text/html English |
| Other Numbers: | DTICE ADA573658 872727549 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.ocn872727549 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |