Comments (3)
Hi there,
Any chance you could attach a sample image otherwise this is difficult to diagnose. Many of the entry level consumer flir cameras deceive the user into thinking the resolution is 320x240 when the fundamental sensor is only 80x60, but I cannot tell for sure.
Glenn
from thermimage.
This is shot with a Flir C2, I just looked up the model online and it does say that the IR sensor is 80x60. Not really related to the R package, but this just makes it more difficult, or perhaps less accurate, when analyzing in Image J. That's why I was wondering why importing the images made the resolution so low.
from thermimage.
From the terminal window:
exiftool -*width* -*height* FLIR_C2.jpg
Exif Image Width : 320
Raw Thermal Image Width : 80
Embedded Image Width : 640
Image Width : 320
Exif Image Height : 240
Raw Thermal Image Height : 60
Embedded Image Height : 480
Image Height : 240
There are multiple "images" inside the file. The thermal cam is only 80x60, while the digital image is either 320x240 or even as high as 640x480. FLIR creates an overlay image from the digital camera's halo/outline of the field of view to overlay on top of the raw thermal image. The thermal image must be artificially increased in size, but not in actual resolution, producing the blurry thermal image you see in the native jpg.
The Thermimage package is only designed to extract the raw thermal signal contained in these jpg files, so unfortunately, the resolution is only as great as the sensor size. Thermimage relies on Exiftool's -rawthermalimage extraction function at this time.
Sometimes FLIR employs a supermax resolution whereby they digitally increase resolution by sampling the 'jitter' from handheld cameras but usually this supermax only doubles the resolution (i.e. 160x120). I don't think they can bump it any higher but I could be wrong.
The problem with the thumbnail jpg loaded into ImageJ is contamination from the digital image overlay (the dull white halo). That will obscure and influence temperature estimates, plus we don't know what FLIR has done to upsample the image to create that effect. I would argue that the raw data are better than any digitally manipulated data, and it is likely that the upsampled image has averaged some of the temperatures by smoothing across pixels.
The consumer grade thermal cameras are not rated highly accurate as well. Use cautiously if you need accurate temperatures.
Closing issue as being beyond Thermimage to fix. If a more astute observer of exif headers can point to where the upsampled thermal image is in the file without the digital image overlay, please comment.
from thermimage.
Related Issues (20)
- Bug in readflirJPG function? HOT 5
- flirsetting HOT 6
- Info about metadata HOT 5
- Error when loading FLIR jpg HOT 2
- Equation to convert to temperature HOT 4
- Error in raw2temp HOT 3
- Does the library work with files other than FLIR? HOT 13
- "Error in if (cams$Info$RawThermalImageType == "TIFF") { : argument is of length zero" error HOT 18
- convertflirJPG() seems to think flir jpg files are empty HOT 8
- Can't open FLIR ONE jpg HOT 8
- GPSLatitude and GPSLongitude not being read properly by flirsettings() HOT 4
- Package not extracting thermal image data HOT 1
- AFF SEQ Files HOT 11
- Getting random frame extraction times HOT 3
- Thermimage / Error in system2 HOT 4
- DN to Temp conversion results in a data matrix that exceeds (696, 928) the dimensions of the original camera resolution (640x480) HOT 11
- ATA1-2, ATB1-2, ATX are no constants HOT 13
- Thermimage - convertflirVID, Warning messages: 1- in system2, 2- in file.remove HOT 17
- Error in writeBin & total frames HOT 17
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from thermimage.