1. Institute of Metrological Supervision and Measurement of Hebei Provimce Langfang Branch, Langfang, Hebei 065000, China;
2. College of Information Science and Technology, Beijing University of Chemical Techonlogy, Beijing 100029, China
Abstract According to the low contrast of ultrasound images can result the difference of adjacent grayscales is very small, and the human eyes are difficult to distinguish, an ultrasound image segmentation method based on variance and saliency features is proposed. Firstly, the variance and saliency features of the known sample pixels in the image are extracted, then the sample training is performed based on the variance and saliency features of the extracted sample pixel points using a support vector machine to obtain the classification model, finally, the training model is applied to the entire image to achieve effective segmentation of the image. Experimental results show that the proposed method is feasible and effective for the segmentation of ultrasound images.
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2018, Vol. 39 
