Background#

_images/finite-depth-dip-coating.jpg

The four stages of dip coating with finite immersion depth.#

When the substrate is dipped into a bath with relatively small immersion depth, the coating layer is confined to a narrow range on the bottom part of the substrate. DipCoatImage-FiniteDepth extracts and analyzes the coating layer profile in this system using image analysis.

Fundamentals#

_images/background-1.png

Reference image (left) and target image (right). Red box and green box in the reference image are template region and substrate region, respectively.#

Image analysis is performed based on two types of images; reference image and target image. Reference image is an image of substrate before coating, and target image is an image after coating.

The basic scheme of analysis is:

  1. Select substrate region and template region from the reference image.

  2. Locate the substrate region in the target image by template matching of the template region.

  3. Remove the substrate pixels from the target image to acquire coating layer region.

  4. Find the coating layer profile and measure its shape.

For this purpose, DipCoatImage-FiniteDepth defines three types of objects:

  • Reference (ReferenceBase): Store the reference image and ROIs for two regions.

  • Substrate (SubstrateBase): Analyze the shape of the uncoated substrate.

  • Coating layer (CoatingLayerBase): Acquire the coating layer profile and measure its shape using the shape information of the uncoated substrate.

Refer to Module reference for more information about these objects.

See Also#

For more detailed explanation, check the paper in Citation.