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Enhancing Monochrome Imaging with Optical Filters: A Practical Demonstration


 

Improve object contrast in monochrome imaging with color filters. See how simple filters like BP 660-60, NBP 450-40 and a Polarizer enhance detection in machine vision.

In machine vision, especially with monochrome cameras, subtle differences in material or color can easily be lost without proper contrast enhancement. This article demonstrates how simple optical color filters can dramatically improve the separation of objects in grayscale images – using a straightforward real-world example. Learn how to make red and blue elements stand out and discover why filter selection is critical in demanding industrial imaging environments.

Visual Clarity Through Filters – A Simple Example with Strong Impact


 

In industrial image processing, every detail counts – especially when working with monochrome cameras. While these cameras offer high sensitivity and resolution, they often struggle with contrast when objects or materials share similar brightness levels. This is where color filters come into play.

To illustrate the impact of filters in a hands-on, relatable way, we conducted a simple experiment using colored document folders as test objects and compared the results with and without optical filters.


The Setup:
We used a monochrome industrial camera to capture three different colored folders (blue, red, and yellow) placed side by side under identical lighting conditions. The original image without a filter showed poor separation between the different colors is – a typical challenge in monochrome imaging.

Three vertical textured color swatches in grayscale.

Use mouse over to see the original image in color.

 

 

Filter 1: BP 660-60 – Enhancing Red

By introducing a bandpass filter centered around 660 nm with a 60 nm bandwidth (BP 660-60), we significantly increased the visibility of the red folder. The filter blocks most other wavelengths, allowing primarily red tones to pass through, which results in high contrast for red objects in monochrome imaging.

BP 660-60 HT Bandpass Filter
Three vertical textured grayscale swatches, the middle one is lighter.


 

Filter 2: NBP 450-40 – Isolating Blue

Next, we used a narrower bandpass filter centered at 450 nm with a 40 nm bandwidth (NBP 450-40). As expected, this filter enhanced the contrast of the blue folder, while suppressing other colors in the scene. The result: the blue object stands out clearly against its surroundings.

NBP 450-40 HT Narrow Bandpass Filter
Three vertical textured grayscale swatches, the left one is lighter.


 

Filter 3:  Polarizing Filter – Revealing Hidden Contrast

In a second test, we used a polarizing filter to increase the visibility of white text printed on a glossy film. Without the filter, glare and reflections made the writing barely visible. With the polarizer in place, reflections were suppressed, and the bright text became clearly legible.

This example highlights another important application of filters in machine vision: polarization filters are essential when dealing with reflective surfaces, such as plastic, glass, or metal. They help reduce glare and enhance surface details that would otherwise be obscured.

Linear Glass Polarizer AUF
 Plastic Bag Schneider Kreuznach: Plastic bag with printed text: address and website of Jos. Schneider Optische Werke GmbH.

Use mouse over to see the original image without filter.


 

Why This Matters
This hands-on experiment highlights how optical filters can significantly improve image quality in industrial vision systems. Whether you're trying to separate colored objects in monochrome imaging or reduce reflections on shiny surfaces, filters offer a simple yet highly effective way to boost contrast and detail. In inspection, sorting, or quality control tasks, even subtle improvements in visibility can lead to more reliable detection and fewer false positives.


Key Takeaways

  • Color filters, like the BP 660-60 or NBP 450-40, help isolate specific spectral ranges to enhance object contrast in monochrome imaging.
  • Polarizing filters reduce glare from reflective surfaces (e.g., plastic, foil, glass) and make subtle details more visible.
  • Understanding your application's lighting, materials, and imaging requirements is crucial when selecting the right filter.
  • The right optical filter can transform a "barely visible" feature into a clearly detectable one – often with minimal effort or system changes.
  • If you're looking to improve object detectability, reduce background noise, or simply enhance contrast in challenging imaging tasks, integrating the right optical filter can be a simple yet highly effective solution.

 

 


Our optical filters


 

Get in Touch

Please do not hesitate to contact us if you have any questions. Our dedicated team is here to help you every step of the way.
Whether you need assistance with product selection, technical specifications, or general inquiries.

Jos. Schneider Optische Werke GmbH
Ringstraße 132
55543 Bad Kreuznach | Germany

Tel: +49 (0) 671 601 205
isales(at)schneiderkreuznach.com
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