Threshold

Threshold and Convert to WEBP

Why Threshold an Image?

Simplification

Complex images need to be reduced to a basic representation for further analysis. For example, in OCR (Optical Character Recognition), thresholding simplifies a scanned document, facilitating text extraction.

Noise Reduction

Images containing noise or unwanted variations in intensity can benefit from thresholding, which can effectively filter out these variations.

Configure the form below and click Threshold and Convert to WEBP

Format Options

Lossless

Quality

Range (0-100)

Compression Level

Higher values give better quality for a given size at the cost of increased encoding time

Threshold

Enable

Percentage

Valid Range (0-100)

Filename

Enable

Postfix

The filename is the same as the original source input except for the extension

Adds a piece of text to the filename before the period (.)

Meta Data

Remove All

Remove all the images meta data to reduce the file size even more and conceil the original identity.

Once you have downloaded the generated Zip Archive you can view the Images at Unzipper and organize your images into folders.

Threshold and Convert to WEBP

Can I threshold a color image?

Yes, color images can be thresholded, but it's typically done by converting the image to grayscale first.

What challenges can arise with thresholding?

Poor lighting, shadows, or complex backgrounds can complicate the thresholding process, leading to incorrect segmentation. Adjusting techniques or pre-processing the image can help mitigate these issues.

Would you like to know more