Color histogram feature extraction python
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Rizve, "Block based histogram feature extraction method for bleeding detection in wireless capsule endoscopy," in TENCON 2015 - 2015 IEEE Region 10 Conference, pp. An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space
color schemes to represent each character, the developed method uses color histograms to determine the presence and location of characters in a frame. To provide a baseline for comparison, SIFT features were also used to identify the characters. It was found that the SIFT algorithm is accurate but frequently is