Multi-target detection method based on improved VGG16 network
The invention discloses a multi-target detection method based on an improved VGG16 network. The multi-target detection method comprises the steps of 1, sample image enhancement in which a histogram equalization and histogram matching method is selected, and the display effect of the image is changed...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
24.11.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a multi-target detection method based on an improved VGG16 network. The multi-target detection method comprises the steps of 1, sample image enhancement in which a histogram equalization and histogram matching method is selected, and the display effect of the image is changed by changing the gray histogram of the image; 2, feature extraction model construction in whicha feature extraction network model is established and composed of a truncated VGGNet-16 network and an enhanced network layer, feature maps of different scales corresponding to parameters are generated ineach layer, target object detection is carried out on the feature maps of the different scales at the same time, and the feature maps of the different scales are used for predicting target objects ofdifferent scales; 3, setting a feature extraction model correlation function; 4, positioning a target on the extracted feature map; and 5, target positioning and setting of a feature classification loss function. According to |
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Bibliography: | Application Number: CN202010689421 |