Interface Description

The interfaces of the CV image operator are the same as those of OpenCV. Table 1 lists optimized interfaces.

**Table 1** Optimized interfaces
Interface	Description
cvtColor	Converts images, including the BGR2GRAY, BGR2RGB, RGB2BGR, and GRAY2BGR modes.
dilate	Dilates the target area in an image by convolving the image based on specified structure elements.
GaussianBlur	Uses the Gaussian function to perform convolution on images to smooth images and reduce noise and details.
merge	Merges three single-channel images into one three-channel image.
remap	Remaps images during image processing for geometric transforms, such as image translation, rotation, scaling, and distortion.
resize	Adjusts the image size in INTER_NEAREST_EXACT (nearest neighbor interpolation), INTER_LINEAR (bilinear interpolation, default), and INTER_CUBIC (bicubic interpolation) modes.
convertTo	Converts the data type of an image to another with optional scaling. For example, an image can be converted from 8-bit to 16-bit and scaled down at the same time.
threshold	Performs image binarization based on a threshold that divides the grayscale value of an image into two parts. Methods such as global thresholding, adaptive thresholding, and OTSU thresholding can be used.
warpAffine	Performs affine transformation such as translation, rotation, scaling, and cropping on an image using a 2x3 transformation matrix.
contourArea	Calculates the area of a contour, that is, the total number of pixels in the contour.
countNonZero	Counts the number of non-zero pixels in an image.

Constants involved in above interfaces are the same as those in OpenCV interfaces. For details, see OpenCV official documents.

Parent topic: CV Image Operators