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Using the image moment as the characteristics to recognize biological cells has gradually become the research hotspot of academia. The extraction of image features is to find a set of data which is as small as possible and which can represent the image. However, all the current researches cannot well balance its accuracy and robustness, especially cannot guarantee the multi-distortional invariants such as scaling, translation and rotation when choosing the features of the images. Therefore, this paper proposes an algorithm that possesses the multidistortional invariants features for the extraction of squamous carcinoma cells, which is based on Mapping Exponential-Fourier Moments (MEFMs). At the same time, extending it to the general cell feature extraction mode and finally using the image moment to reconstruct the image. From the result of the experiment, we can see that the accuracy of the feature extraction of the target image is significantly improved, which thus ensures a high recognition efficiency.

Algorithm for the Extraction of the Features of Squamous Carcinoma Cells Based on MEFMs