1. Image noise
Image noise is a signal that interferes with random signals in the process of image acquisition or transmission, which hinders people's understanding, analysis and processing of images.
The generation of image noise comes from the environmental conditions in image acquisition and the quality of sensing ...
Posted on Mon, 06 Dec 2021 17:25:42 -0500 by Trizen
1, Bitmap principle
Note: lena.bmp (806) is used here × 538) as an example:
(1) Bitmap introduction
The computer can display images in bitmap and vector format.
Image is also called dot matrix or raster. It uses small dots called pixels to describe the image. A computer screen is actually a grid containing a large num ...
Posted on Sat, 04 Dec 2021 22:08:50 -0500 by samoht
Human image segmentation based on image segmentation network HRNet
Portrait segmentation is a very common application in the field of image segmentation. PaddleSeg launched a portrait segmentation PPSeg model trained on large-scale portrait data to meet the needs of a variety of use scenarios on the server, mobile and Web. This tutorial provid ...
Posted on Sat, 04 Dec 2021 22:02:59 -0500 by ExuLt4Nt
Next to my last article on the use of open source machine learning: How to turn photos into cartoons, animegan2-pytorch Machine Learning Project Use | Machine Learning_ Alan's Blog - CSDN Blog
I'll continue to do a little bit of magic with the project and still turn it into a ...
Posted on Sat, 04 Dec 2021 12:30:53 -0500 by Superian
Why add a sequel after the name? Because a man wrote an article before. I continued to develop and explore on his basis. The link to his article:
C # two methods of merging multiple pictures into TIFF files
At the end of the article, the man raised a leftover question:
The size of tif files generated by the two methods is ...
Posted on Fri, 03 Dec 2021 21:50:08 -0500 by doforumda
Threshold processing refers to eliminating pixels in the image that are higher or lower than the threshold. Image threshold processing is mainly to set a threshold: greater than this number is given a value, less than a number is given another value, and the pixel value of the image is changed into the middle of two gray values to realize image ...
Posted on Fri, 03 Dec 2021 09:03:38 -0500 by JCBarry
1. Image reading and Mat initialization
-1 represents the original format (BGR for color images), 0 represents the grayscale image, and 1 represents the BGR image
In addition to reading images, you can also use Mat::zeros, Mat::ones, Mat::eye and other functions initialize mat
string path= "image.jpg";
cv::Mat m= imread ...
Recently, I was studying the book "Multiple view Geometry". I finally felt shallow on the paper. Looking at the theory alone, I found it very empty and difficult to master. Therefore, I consolidated my knowledge through programming operation. If there are mistakes, thank you for criticism and correction. This article is mainl ...
Posted on Wed, 01 Dec 2021 00:11:08 -0500 by g_pmattoo
Author: Zhai Tianbao Steven Copyright notice: the copyright belongs to the author. For commercial reprint, please contact the author for authorization. For non-commercial reprint, please indicate the source
Qt has a convenient color bar interface for 2D image display, which allows the gray ima ...
Posted on Tue, 23 Nov 2021 03:57:27 -0500 by Hatch
The following links are the shortcomings of this series of articles, which can be discussed in the comments area: Series articles corresponding column of this article Explain DICOM protocol from zero - imaging protocol Articles in Analysis of DICOM imaging protocol and Implementation of DICOM imaging protocol , it is recommended to read ...
Posted on Wed, 17 Nov 2021 20:12:13 -0500 by akiratoya13