Research Article
DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy
Algorithm 1
Selective aggregation of chromatic image components (SARC).
| Input: Images Ic (M × N), c = a, b | | Output: Image ISARC | (1) | Compute histogram Hc of images Ic, | (2) | L = length (Hc); | (3) | //Calculate the first and second derivatives of Hc | (4) | // first rate | (5) | | (6) | | (7) | | (8) | | (9) | //denote the max values of value field | (10) | | (11) | For each do | (12) | If then | (13) | If then | (14) | End For | (15) | ⟵ Normalize ; //Enhance contrast | (16) | //Non-maxima filtering | (17) | For each in do | (18) | temp[] ⟵ n × n neighborhood centered at | (19) | For i = 0 to n × n do | (20) | If < then = 0; | (21) | End For | (22) | //Temp is matrix with odd number of rows and columns | (23) | If then temp = 0; ; | (24) | End For | (25) | |
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