Road scene semantic segmentation method based on convolutional neural network
A convolutional neural network and semantic segmentation technology, applied in the field of semantic segmentation of deep learning, can solve the problems of image feature information reduction, low segmentation accuracy, and non-representative
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[0042] The present invention will be further described in detail below with reference to the accompanying drawings embodiments.
[0043] The present invention proposed a method of segmentation method based on the convolutional neural network, and the overall implementation block diagram of figure 1 As shown, it includes two processes in the training phase and the test phase;
[0044] The step 1_1 is specifically:
[0045] Select Q-raw road scene images and the real semantic segmentation image corresponding to each original road scene image, select the number of original road scene images to record The thermal image corresponding to the original road scene image is The thermal map is processed into a three-channel and forms a color thermal image to form a color thermal image with the HHA encoding method. The true semantic segmentation image corresponding to the original road scene image is recorded as
[0046] Then, the first-heat coding method (One-HOT) is used to process the...
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