Image Filter Tool

Specifies a black-and-white binary threshold operation that compares each input pixel to the threshold level to determine whether the output pixel is white or black.

Input pixel values equal to or above the Threshold parameter value are white, and values below the threshold are black.

Specifies a bottom hat filtering operation that filters out everything except dark features that are smaller than the size of the kernel neighborhood.

The result is an output image that displays the dark features as bright pixels on an otherwise dark background.

Specifies a clipping operation that eliminates the extreme ends of the greyscale spectrum so that the features in the output image are more uniform.

The Clip filter compares the greyscale value of each input pixel to the Min and Max parameter values:

• If the input pixel value is equal to or exceeds the minimum or the maximum, the output pixel is assigned (clipped to) the minimum or maximum value, respectively.
• If the input pixel value is within the minimum and maximum, the output pixel is assigned the value of the input pixel.

Specifies a closing operation that performs a dilation followed by an erosion to filter out dark features that are smaller than the size of the kernel neighborhood.

Closing an image reduces or completely removes dark areas of the image.

Specifies a dilation operation that enhances the bright features of the image while suppressing the darker features. The result is an output image with larger areas of bright pixels.

The Dilate filter is useful for removing dark specks.

Specifies an operation that displays the difference between a dilation and an erosion of the input image. The result is an output image where edges are represented by bright pixels.

Though similar to Gradient Full, the Edge Magnitude operation is more complex and slower, allowing diagonally oriented edges to be represented.

Specifies a histogram equalization operation that extracts the histogram of the input image and spreads out the most frequent greyscale values to create a more even distribution. The result is an output image with increased contrast.

The Equalize filter is useful in environments where the lighting can vary slightly from one image to the next, or when some aspects of the object being inspected can slightly vary.

Specifies an erosion operation that reduces the bright features of the image. The result is an output image with larger areas of dark pixels.

The Erode filter is useful for removing light specks, noisy pixels, or small defects.

Specifies a vertical and horizontal gradient operation that results in an output image where both vertically and horizontally oriented edges are represented by bright pixels.

Though similar to Edge Magnitude, this operation is simpler and faster, and does not represent diagonally oriented edges.

Specifies the greyscale value of each output pixel as the difference between the greyscale value of each input pixel and the threshold level.

For example, if the input pixel value is 100 and the threshold is 25, then the output pixel value is 75.

Specifies a high pass operation that results in an output image where edges are enhanced relative to areas with more consistent greyscale gradient.

The High Pass filter is useful in accentuating fine features.

Specifies an inversion of pixel values based on the 256-step greyscale that results in an output image that is a negative of the input image.

For example, inverting an input pixel value of 10 results in an output pixel value of 245.

Specifies a means to subtract the background from an image.

The Local Median Normalization filter subtracts the local median of the input image from the input image, shifts the result right by one, and then adds 128 to produce the output pixel value.

Specifies an opening operation that performs an erosion followed by a dilation to filter out bright features that are smaller than the size of the kernel neighborhood.

The result is an output image with slightly decreased overall brightness, removing small amounts of bright pixels and enhancing the remaining bright features.

Specifies an inversion of pixel values based on a logarithmic scale where the output pixel value is the result of the following equation:

Output pixel value = 100 * log (255) - 100 * log (input pixel value)

The result is an output image that reveals the density of objects and features in the input image by measuring the amount of light that passes through them. Denser objects and features are represented by lighter pixels in the output image.

Specifies a sharpness operation that you can use to enhance edges.

The operation evaluates the contrast between adjacent pixels, and increases the contrast when the contrast is high. A large contrast difference between adjacent pixels usually represents an edge.

The Sharpen filter is not meant to locate edges. The effects of the Sharpen filter are dependent upon the image content and the resolution.

Specifies a greyscale stretching operation that linearly scales up or stretches the greyscale values in the input image to the full 256-step greyscale, resulting in an output image with increased contrast.

If the input pixel value is equal to or exceeds the minimum or maximum threshold, the output pixel is assigned to 0 or 255, respectively. For input pixel values within the minimum and maximum, they will be linearly stretched to the 0 to 255 range.

For example, if the Min is 50 and the Max is 180, the operation subtracts 50 from each pixel's intensity, making the range 0 to 130. Then each pixel intensity is multiplied by 255/130, creating the range of 0 to 255.

Specifies a black-and-white binary threshold operation that compares each input pixel with two threshold values (Min and Max) to determine whether the output pixel is background or foreground.

If the input pixel value is within the minimum and maximum, the output pixel retains its value, otherwise, the output pixel is set to the Threshold level. If the minimum value is greater than the maximum value, the background is inverted.