How to use OpenCV to realize Image Segmentation in C++

This article will explain in detail how to use OpenCV to achieve image segmentation in C++. The content of the article is of high quality, so the editor shares it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Parameter description:

Img: input ima

Result: segmentation result

The values for mask images can only be the following four values (PR,probably indicates possible):

GC_BGD = 0, / / background

GC_FGD = 1, / / Prospect

GC_PR_BGD = 2, / / possible background

GC_PR_FGD = 3 / / possible prospect

Rect: a rectangle containing the foreground

BgdModel: background

FgdModel: prospect

IterCount: iterations, which must be greater than 0

Mode: used to instruct grabcut what function to use to operate

GC_INIT_WITH_RECT / / initialized with a rectangular box

GC_INIT_WITH_MASK / / initialize with mask image

GC_EVAL / / perform split

Code demonstration

We used the project opencv--Grabcut of the mouse callback event from last class.

The basic parameters and methods used in GrabCut are defined.

Initialize mask, set as background

Then set the N key to segment the GrabCut image.

The initialization of two parameters is added to the mouse press event.

Redefine Mask in the mouse release event

Initialize the method setROIMask of Mask

Execute the GrabCut method

Display image method modification

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