Image characterization and classification by physical complexity
نویسندگان
چکیده
منابع مشابه
Image characterization and classification by physical complexity
We present a method for estimating the complexity of an image based on Bennett’s concept of logical depth. Bennett identified logical depth as the appropriate measure of organized complexity, and hence as being better suited to the evaluation of the complexity of objects in the physical world. Its use results in a different, and in some sense a finer characterization than is obtained through th...
متن کاملImage information content characterization and classification by physical complexity
We present a method for estimating the complexity of an image based on the concept of logical depth. Unlike the application of the concept of algorithmic complexity by itself, the addition of the concept of logical depth results in a characterization of objects by organizational (physical) complexity. We use this measure to classify images by their information content. The method provides a mea...
متن کاملClassification of retinopathic injury using image cytometry and vasculature complexity
Retinopathic injuries are a common symptom of many diseases. However, if detected early, much of the damage caused by these injuries can be prevented, or in some cases reversed. In this study, images of retinas were classified as normal or injured using the vascular cell count, vasculature coverage, and vessel caliber. To model retinal vasculopathies, retinal vasculature from mice with the BCL-...
متن کاملMorphological and Crystallographic Characterization of Nanoparticles by Granulometry Image Analysis and Rietveld Refinement Methods
The particle size distribution of the resultant cobalt ferrite samples was determined from Scanning Electron Microscopy (SEM) images using the granulometry image analysis method. Results showed the nanosized particles of the samples. The X-Ray Diffraction (XRD) patterns of samples were also analyzed by Rietveld refinement method. The results indicated that the precipitated sample at 95 <sup...
متن کاملCystoscopic Image Classification Based on Combining MLP and GA
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2011
ISSN: 1076-2787
DOI: 10.1002/cplx.20388