01
Endodental Application
02
Sign-in page
Login Page
03
Uploading
On this part, the OPG- X-Ray photo is uploaded
04
Preprocess
On this section the image is processed. A wide range of techniques, including but not limited to enhancement, extraction, noise reduction, and applied Gaussian filters will be applied to improve the image.
05
Noise Reduction
On this phase, a wide range of techniques are applied to improve the resolution of the X-ray photos
06
Object Detection
After applying multiple filters to improve the frequency and spatial domain, final filter is applied and the image is detected and is prefinalised
07
Root Canal Measurement
At this stage the edge of image is precisely detected and the root canal system can be measured.
08
Root Length Measurement
At this stage the root length is measured and the result is published
09
Quick Access
A user-friendly Quick Access is defined to provide easy access to the users
10
Patients' Profile
On this page, the patients' profile are accessible
11
Additional Documents
a shortcut to all patients' documents
12
Setting
Exclusive features, including but not limited to the emergency notification and SOS number are provided on this page.
13
Additional documents
On this page, the details of the patients' profile, such as proceeded images. are available.
14
Profile Preview
A preview of each client's profile, including the patient's detailed information
15
Processed Details
A preview of processed details for a patient
How Does It Work?
It all starts with an image, after processing through enhancement, extraction,
noise reduction, and applied Gaussian filters, the image is entered into the
image morphology operation, by increasing the radius disk, the range of
teeth is disclosed, and measurement is conducted with extreme accuracy.
Measurement and extraction from the image will be done through top-hattransform.
After improving the image for the canal length estimate, we use
the Canny filter to have edge detection on the filtered image. The length of
the root canal is calculated by considering the details extract from last two
steps and from the grayscale image obtained from image threshold analysis.