Fluorescent image pseudo-color enhancement method, device and equipment and storage medium
A fluorescence image and pseudo-color technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem of inability to effectively extract fluorescence information of grayscale images, and achieve the effect of improving the quality of color images
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Embodiment 1
[0057] This embodiment provides a false color enhancement method for fluorescent images, figure 1 It is a flow chart illustrating how to perform pseudo-color enhancement on a fluorescent image to be processed to obtain a color image according to some embodiments of the present invention. Although the processes described below include operations in a particular order, it should be clearly understood that these processes may also include more or fewer operations, which may be performed sequentially or in parallel (e.g., using parallel processors) or multi-threaded environment). Such as figure 1 As shown, the method includes the following steps:
[0058] S101. Acquire a fluorescent image to be processed.
[0059] The fluorescent image to be processed can be a fluorescent image of a small animal, and the fluorescent imaging technology is used to continuously track and image the small animal in vivo to form a black, white and gray fluorescent image.
[0060] S102. Based on the ...
Embodiment 2
[0121] This embodiment provides a fluorescence image pseudo-color enhancement device, which can be a computer device, and can also be set in the computer device. Such as Figure 4 As shown, the device includes: a first acquisition module 201 , a first calculation module 202 , a second calculation module 203 and a mapping module 204 .
[0122] The first acquisition module 201 is configured to acquire the fluorescence image to be processed; for details, please refer to the relevant description in Embodiment 1, and details will not be repeated here.
[0123] The first calculation module 202 is configured to calculate the optimal threshold corresponding to the fluorescence image to be processed based on the pixel values of each pixel in the fluorescence image to be processed; for details, please refer to the relevant description in Embodiment 1, here I won't repeat them here.
[0124] The second calculation module 203 is configured to calculate the fluorescence threshold corre...
Embodiment 3
[0142] This embodiment provides a computer device, such as Figure 5 As shown, the computer device includes a processor 301 and a memory 302, wherein the processor 301 and the memory 302 can be connected by a bus or other methods, Figure 5 Take connection via bus as an example.
[0143] The processor 301 may be a central processing unit (Central Processing Unit, CPU). The processor 301 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), graphics processors (Graphics Processing Unit, GPU), embedded neural network processors (Neural-network Processing Unit, NPU) or other Dedicated deep learning coprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the above-mentioned...
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