- Created by user-c2b55, last updated on Nov 05, 2015 2 minute read
You are viewing an old version of this page. View the current version.
Compare with Current View Page History
« Previous Version 4 Next »
To use these functions, the ImageJCV Feature is required.
getWidthCV(ImageCV i)
Returns the width of the given image
output = MAP({expressions=[['getWidth(image)', 'width']]}, input)
getHeightCV(ImageCV i)
Returns the height of the given image
output = MAP({expressions=[['getHeight(image)', 'height']]}, input)
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(image, 100, 100)', '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 white.
output = MAP({expressions=[['stretchContrastCV(image, 1000, 5000, 0, 255)', '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 number and pixel format.
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)
- No labels