Image semantic segmentation method, electronic device and readable storage medium
A semantic segmentation and image technology, applied in the field of electronic equipment and readable storage media, and image semantic segmentation methods, can solve problems such as the inability to balance high-level abstract classification problems and low-level precise positioning problems, and achieve good segmentation results , improve sensitivity, and ensure the effect of segmentation accuracy
Active Publication Date: 2022-03-25
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0022] Aiming at the defect that FCN cannot well balance the high-level abstract classification problem and the low-level precise positioning problem, the present invention provides an image semantic segmentation method, electronic equipment and readable storage medium, taking into account the sensitivity of target positioning and segmentation accuracy
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[0050] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention. Some embodiments of the present invention should not be construed as limiting the protection scope of the present invention.
[0051] In the description of the present invention, the orientation description is involved, for example, the orientation or positional relationship indicated by up, down, front, rear, left, right, etc. is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention , not restrictive. When it comes to quantity description, several means one or more, and multiple means two or more.
[0052] like figure 2 The electronic device shown includes a p...
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The invention discloses an image semantic segmentation method, an electronic device and a readable storage medium. Based on a deep feature fusion FCN model, the traditional convolution operation is replaced by a hole convolution, and original images of different resolutions are constructed to form an image pyramid. The FCN model is input in layers, and the output features of the upper layer are fused with the next layer, and fused layer by layer to the bottom layer from top to bottom, and the output features of the bottom layer are transposed and convoluted to make the output resolution consistent with the bottom layer input image. , to improve the sensitivity of target positioning, and then optimize the fully connected conditional random field to ensure the segmentation accuracy, so as to obtain a better segmentation effect.
Description
technical field [0001] The present invention relates to the technical field of image semantic segmentation, in particular to an image semantic segmentation method, an electronic device and a readable storage medium. Background technique [0002] Semantic segmentation is one of the important cornerstones in the field of computer vision. It not only classifies each pixel in the image, but also annotates the object category to which the pixel belongs in the image, that is, it can not only segment the region, but also perform content segmentation on the region. 's annotation. [0003] Semantic segmentation can usually be divided into several different tasks, such as figure 1 shown, where, figure 1 (a): segmentation at pixel level; figure 1 (b): scene analysis; figure 1 (c): Combination of localization and classification. exist figure 1 In (a), given an image, it may be necessary to distinguish all pixels belonging to people and all pixels belonging to horses in the image, ...
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IPC IPC(8): G06T7/11
CPCG06T7/11G06T2207/20016G06T2207/20081G06T2207/20084
Inventor 陈沅涛陶家俊王进王磊张建明陈曦邝利丹谷科刘林武王志
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY