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A framework is proposed for studying the performance of spatial similarity approaches in image databases (IDBs).
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We have given numerous applications of this methodological approach in image processing essentially dedicated to medical imaging and surgical robotics.
This paper explores the possibility of using the specialized wavelet approach in image fusion and de-noising.
Combining results achieved from different methods is a common approach in image processing and computer vision research [22, 23].
The second well-known approach in image retrieval is Content-Based Image Retrieval (CBIR) where the low-level image features, such as color, texture and shape are used as an index for image retrieval [15 17].
LaDy is based on the use of Merchant's adaptive geographic window, which is designed to operate on a neighborhood of patches instead of a fixed rectangular neighborhood of pixels (the conventional approach in image analysis).
All final images were analyzed regarding their fractal dimension, utilizing the same approach in Image-Pro-Premier.
The emergence of image manipulating software like ExifTool forces researchers to find more reliable approaches in verifying image authenticity.
Thus, it is desirable to employ vector approaches in color image processing to obtain the angle deviations.
The proposed method is compared with some existing approaches in histopathological image analysis.
Experiments have shown that the proposed plane detection outperforms state of the art approaches in complex image sequences.
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