Page History

To use these functions, the ImageJCV Feature is required.

getWidthCV(

ImageCV i)

Reinterprets Returns the content width of an image (argument 0) as another image with different width, height, depth, number of channels or pixel format. Any parameter which is set to 1 will be replaced by the corresponding value of the original image. Buffer sizes of original and reinterpreted image must match!

Example: Convert a 16-bit grayscale image to a 32-bit RGBA image with half of the width:

the given image

output = MAP({expressions=[['getWidth(image)', 'width']]}, input)

getHeightCV(ImageCV i)

Returns the height of the given image

output = MAP({expressions=[['reinterpret(image, getWidth(image)/2, -1, 8, 4, 28getHeight(image)', 'imageheight']]}, input)

Parameter explanation:

• image: Original image
• getWidth(image)/2: Half width
• -1: Original height
• 8: 8 bit per pixel channel
• 4: 4 channels per pixel
• 28: 32 Bit RGBA pixel format (see JavaCV doc: AV_PIX_FMT_RGBA)

Inv(Image i)

Inverts the pixel values of the given image

SELECT inv(image) FROM Stream

Get(Image i, Number x, Number y)

Return the value of the pixel at the given location

SELECT get(image, 100, 100) FROM Stream

Set(Image i, Number x, Number y, Number c)

Set the pixel at the given location to the given value

getDepthCV(ImageCV i)

Returns the depth of the given image

output = MAP({expressions=[['getDepth(image)', 'depth']]}, input)

getNumChannelsCV(ImageCV i)

Returns the number of channels of the given image 

output = MAP({expressions=[['getNumChannels(image)', 'numChannels']]}, input)

getPixelFormatCV(ImageCV i)

Returns the pixel format of the given image

output = MAP({expressions=[['getPixelFormat(image)', 'pixelFormat']]}, input)

resizeCV(ImageCV i, Number width, Number height)

Resizes the image to the given width and height

output = MAP({expressions=[['resizeCV

SELECT set(image, 100, 100)', 0.5) FROM Stream

Rotate(Image i, Number angle)

'smallImage']]}, input)

stretchContrastCV(ImageJCV i, Number oldMin, Number oldMax, Number newMin, Number newMax)

Converts an 16-bit 1-channel image (f.ex. a temperature map) to an 24-bit RGB grayscale image. The contrast of the new image is calculated with this formula for each pixel:

newValue = (oldValue - oldMin) / (oldMax - oldMin) * (newMax - newMin) + newMin

The example converts a temperature map to a grayscale image such that input 1000 maps to black and input 5000 maps to whiteRotates the image at the given angle in degree.

SELECT rotate(image, 90.0) FROM Stream

output = MAP({expressions=[['stretchContrastCV(image, 1000, 5000, 0, 255)', 'grayscale']]}, input)

toImageCV(Number width, Number height)

Resize the image to Creates a new 32-bpp RGBA image with the given width and height

SELECT resize(image, 500, 500) FROM Stream

Sub(Image i, Number x, Number y, Number width, Number height)

output = MAP({expressions=[['toImageCV(512, 512)', 'image']]}, input)

toImageCV(Number width, Number height, Number depth, Number numChannels, Number pixelFormat)

Creates a new image with the given width, height, depth, channel number and pixel formatReturns a sub image at the given location and the given width and height.

SELECT sub(image, 5, 5, 200, 200) FROM Stream

ToImage(<Number width, Number height>|<Matrix matrix>)

Creates a new image with the given width and height

SELECT toImage(500, 500) FROM Stream

ToMatrix(Image i)

Return the pixel values of the given image as a matrix

output = MAP({expressions=[['toImageCV(512, 512, 8, 4, 28)', 'image']]}, input) /// 32bpp RGBA image

toImageCV(Image i)

Copies the contents of the input image (from the Image feature) into a new ImageJCV image.

output = MAP({expressions=[['toImageCV(inputImage)', 'image']]}, input)

ReinterpretCV(ImageJCV i, Number newWidth, Number newhHeight, Number newDepth, Number newNumChannels, Number newPixelFormat)

Reinterprets the content of an image (argument 0) as another image with different width, height, depth, number of channels or pixel format. Any parameter which is set to 1 will be replaced by the corresponding value of the original image. Buffer sizes of original and reinterpreted image must match!

Example: Convert a 16-bit grayscale image to a 32-bit RGBA image with half of the width:

output = MAP({expressions=[['reinterpret(image, getWidth(image)/2, -1, 8, 4, 28)', 'image']]}, input)

Parameter explanation:

• image: Original image
• getWidth(image)/2: Half width
• -1: Original height
• 8: 8 bit per pixel channel
• 4: 4 channels per pixel
• 28: 32 Bit RGBA pixel format (see JavaCV doc: AV_PIX_FMT_RGBA)