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A novel wastewater bacteria recognition method based on microscopic image analysis

The classification and recognition for wastewater bacteria are studied by image analysis. A novel recognition method for the image of wastewater bacterial is presented in the paper. An adaptive and enhanced edge detection solution for the images of wastewater bacteria is proposed, which can effectively remove noises in the images and get clear edges of microscopic image by optimizing segmentation threshold and the varied order of edge detection. Seven contour invariant moment features and four morphological features are extracted by analysis of microscopic images of wastewater bacteria. Moreover, six features are chosen by PCA to reduce the dimensionality of the features extracted from the images and an adaptive accelerated BP algorithm is used to learn to classify the images. The proposed method is tested with CECC database, experimental results demonstrate that the presented image recognition solution is effective.