Image Processing Method, Apparatus, And Readable Storage Medium

An image processing apparatus, wherein, the image processing apparatus comprises a memory, a processor, a communication bus, and an image processing program stored in the memory,

• the communication bus is configured to implement communication connection between the processor and the memory;
• the processor is configured to execute the image processing program, in order to perform the following operations:
• receiving an image to be processed, dividing the image to be processed into regions of interest by region segmentation means;
• detecting the regions of interest by calling a pre-stored full convolution network structure model, to obtain probability image segments, wherein, the pre-stored full convolution network structure model comprises a full convolution structure, a linear regression layer is replaced by an equivalent convolution layer in the full convolution structure, a blank padding operation layer and an up-sampling layer are removed from the full convolution structure;
• and
• synthesizing the probability image segments to generate a target probability image.

A readable storage medium, wherein, the readable storage medium stores an image processing program, the image processing program when being executed by a processor performs the following operations:

• receiving an image to be processed, dividing the image to be processed into regions of interest by region segmentation means;
• detecting the regions of interest by calling a pre-stored full convolution network structure model, to obtain probability image segments, wherein, the pre-stored full convolution network structure model comprises a full convolution structure, a linear regression layer is replaced by an equivalent convolution layer in the full convolution structure, a blank padding operation layer and an up-sampling layer are removed from the full convolution structure;
• and
• synthesizing the probability image segments to generate a target probability image.