A Reconstruction System for Industrial Pipeline Inner Walls Using Panoramic Image Stitching with Endoscopic Imaging

This paper presents an industrial pipeline inner wall reconstruction system that utilizes panoramic image stitching and polar coordinate transformation on endoscopic video to generate comprehensive planar panoramic images, thereby significantly improving the efficiency and accuracy of defect detection compared to traditional frame-by-frame review methods.

Rui Ma, Yifeng Wang, Ziteng Yang, Xinghui Li

Published 2026-03-03
📖 4 min read☕ Coffee break read

Imagine you are a doctor trying to check the inside of a patient's throat, but instead of a mirror, you have a tiny camera on a long, flexible snake. This is exactly what happens when engineers inspect industrial pipelines (the giant metal tubes that carry oil, gas, or water). They use an industrial endoscope to crawl inside and record video.

However, there's a major problem with how they currently look at this video:

The Problem: The "Donut" View

When the camera looks at the pipe wall, it sees a circle. The video looks like a series of donuts or rings.

  • The Issue: If you see a crack in the pipe, it looks like a tiny speck on a ring. It's hard to tell how long the crack is, where it starts, or how it connects to other cracks.
  • The Old Way: Inspectors have to watch the video frame-by-frame, like flipping through a photo album one picture at a time. It's slow, boring, and easy to miss details.

The Solution: The "Unwrapping" Magic

This paper introduces a new system that acts like a digital unrolling machine. It takes those circular "donut" videos and transforms them into a flat, wide panoramic photo (like unrolling a scroll).

Here is how the system works, broken down into three simple steps:

1. The "Highlight Reel" (Key Frame Extraction)

The video is recorded at 30 frames per second, which is a lot of data. The system doesn't need to look at every single frame.

  • Analogy: Imagine reading a book. You don't need to read every single word to get the gist; you just need to read the key sentences.
  • What it does: The system picks out the most important "snapshots" (key frames) from the video, skipping the repetitive ones. This makes the process much faster without losing any important details.

2. The "Peeling the Orange" (Polar Coordinate Unwrapping)

This is the magic trick. The system takes the circular image and mathematically "peels" it open.

  • Analogy: Think of a pizza. If you look at a pizza from above, you see a circle. If you cut the pizza into slices and lay them out flat on a table, you get a long, rectangular strip.
  • What it does: The system takes the circular view of the pipe wall and stretches it out into a flat, rectangular image. Suddenly, a crack that looked like a tiny curve on a ring becomes a long, straight line that is easy to measure.

3. The "Puzzle Solver" (Image Stitching)

Since the camera moves forward, it takes many of these "unrolled" slices. The system then snaps them together like a panoramic photo on a smartphone.

  • Analogy: Imagine taking a photo of a long wall by turning your head. You take a picture, turn a bit, take another, and so on. Your phone stitches them together so you can see the whole wall in one big picture.
  • What it does: It uses smart algorithms to match the edges of the slices so they blend perfectly. No seams, no gaps. Just one giant, clear map of the entire pipe's interior.

Why This Matters

The researchers built a user-friendly computer program (a GUI) that does all this automatically.

  • Speed: Instead of spending hours watching a video, the system processes a 20-second clip in about 7 seconds.
  • Clarity: It turns a confusing 360-degree ring into a flat map. If there is a rust spot or a scratch, you can see exactly how long it is and where it is located.
  • Ease of Use: You don't need to be a math genius to use it. The system handles the complex geometry, and the inspector just clicks a button to get the result.

The Bottom Line

This system is like giving the pipeline inspector a superpower. It turns a confusing, spinning ring of video into a clear, flat map, allowing them to spot defects quickly and accurately. It saves time, reduces human error, and helps keep our industrial pipelines safe.