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To use these functions, the ImageJCV Feature is required.

convertCV(

ImageCV i, Number

newPixelFormat)

 Fills Converts the image with the given colorinput image to another pixel format.

output = MAP({expressions=[['convertCVSELECT fill(image, 0.528) FROM Stream

', 'converted']]}, input)

getWidthCV(ImageCV i)

Inverts Returns the pixel values width of the given image

output = MAP({expressions=[['getWidthSELECT inv(image) FROM Stream

Get(Image i, Number x, Number y)

', 'width']]}, input)

getHeightCV(ImageCV i)

Returns the height of the given imageReturn 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)

output = MAP({expressions=[['getHeight(image)', 'height']]}, input)

getDepthCV(ImageCV i)

Returns the depth of the given imageSet the pixel at the given location to the given value

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

Rotate(Image i, Number angle)

Rotates the image at the given angle in degree.

SELECT rotate(image, 90.0) FROM Stream

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)

Resize Resizes the image to the given width and height

output = MAP({expressions=[['resizeCVSELECT resize(image, 500100, 500100) FROM Stream

', '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 whiteReturns a sub image at the given location and the given width and height.

output = MAP({expressions=[['stretchContrastCVSELECT sub(image, 51000, 55000, 2000, 200255) FROM Stream

', 'grayscale']]}, input)

toImageCV(Number width, Number height)

Creates a new 32-bpp RGBA image with the given width and 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 count and pixel format.

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 newHeight, 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