Research Article

SK-FMYOLOV3: A Novel Detection Method for Urine Test Strips

Algorithm 1

The cluster box predicts flow that by fusing the fuzzy C-means algorithm into the K-means algorithm.
Input: image , classification
Step0: Standardize the input data, Eg. (3)(4), constrain the input value to [0,1].
Step1: Define the objective function and constraints of the algorithm, Eg. (5).
Step2: Obtain the cluster center and membership of the i pixel by the Langer multiplier method.
Step3: Use = (, , , ..., ) as the initial cluster center.
Step4: Calculate the distance from each sample to the cluster center according to the Eg. (6), (7).
Step5: Divide the sample into the class corresponding to the cluster center with the smallest distance.
Step6: Update the cluster center by the Eg. (8).
Step7: Repeat Step5 and Step6 until the value of is unchanged.
Output: output prediction box center