MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||4|
|Section||Digital Signal and Image Processing|
|Published online||19 June 2018|
Milk Somatic Cells Recognition based on Gray-Scale Difference Statistics
College of Computer and Information Engineering, Inner Mongolia Agricultural University, China
* Corresponding author: firstname.lastname@example.org
In order to solve the problems in recognition of milk somatic cells and improve the recognition efficiency and accuracy, we put forward a classification algorithm based on the gray-Scale difference Statistics(GLDS). First, the algorithm extracts the gray difference matrix of the image, and from the matrix we can calculate the texture features of cell images. Then uses the K-means algorithm to segment the cells, extracts morphological features from the nucleus. We extract the 8 morphological feature parameters, 4 texture feature parameters, and use the K-fold cross-validation and random forest classification(RF) to classify samples. Experimental results show that the correct rate is 95.36% when using the random forest classifier.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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