Mach bands

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Exaggerated contrast between edges of the slightly differing shades of gray appears as soon as they touch Mach bands - animation.gif
Exaggerated contrast between edges of the slightly differing shades of gray appears as soon as they touch
Along the boundary between adjacent shades of grey in the Mach bands illusion, lateral inhibition makes the darker area falsely appear even darker and the lighter area falsely appear even lighter. Bandes de mach.PNG
Along the boundary between adjacent shades of grey in the Mach bands illusion, lateral inhibition makes the darker area falsely appear even darker and the lighter area falsely appear even lighter.

Mach bands is an optical illusion named after the physicist Ernst Mach. It exaggerates the contrast between edges of the slightly differing shades of gray, as soon as they contact one another, by triggering edge-detection in the human visual system.

Contents

Explanation

The Mach bands effect is due to the spatial high-boost filtering performed by the human visual system on the luminance channel of the image captured by the retina. Mach reported the effect in 1865, conjecturing that filtering is performed in the retina itself, by lateral inhibition among its neurons. [1] This conjecture is supported by observations on other (non-visual) senses, as pointed out by von Békésy. [2] The visual pattern is often found on curved surfaces subject to a particular, naturally-occurring illumination, so the occurrence of filtering can be explained as the result of learnt image statistics. The effect of filtering can be modeled as a convolution between a trapezoidal function that describes the illumination and one or more bandpass filters. A tight approximation is obtained by a model employing 9 even-symmetric filters scaled at octave intervals. [3]

The effect is independent of the orientation of the boundary.

In radiology

An illusory cross (x) appears in the large image due to gradient discontinuity Mach band cross.svg
An illusory cross (×) appears in the large image due to gradient discontinuity

This visual phenomenon is important to keep in mind when evaluating dental radiographs for evidence of decay, in which grayscale images of teeth and bone are analyzed for abnormal variances of density. A false-positive radiological diagnosis of dental caries can easily arise if the practitioner does not take into account the likelihood of this illusion. Mach bands manifest adjacent to metal restorations or appliances[ citation needed ] and the boundary between enamel and dentin. [5] Mach bands may also result in the misdiagnosis of horizontal root fractures because of the differing radiographic intensities of tooth and bone. [6]

Mach effect can also lead to an erroneous diagnosis of pneumothorax by creating a dark line at the lung periphery (whereas a true pneumothorax will have a white pleural line). [7]

In computer graphics

Example of Mach bands at the ends of gradients where the derivative of the luminance is discontinuous
Actual luminance profile
Perceived luminance profile
Smooth luminance profile for comparison Mach bands gradient overshoot.svg
Example of Mach bands at the ends of gradients where the derivative of the luminance is discontinuous
  1. Actual luminance profile
  2. Perceived luminance profile
  3. Smooth luminance profile for comparison

Mach bands can also appear when there is a discontinuity in the derivative of a gradient, a visual effect common when intensities are linearly interpolated such as in Gouraud shading.

Computer image processing systems use edge-detection in a way analogous to the brain, using unsharp masking to clarify edges in photos for example.

See also

Related Research Articles

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References

  1. Ratliff, Floyd (1965). Mach bands: quantitative studies on neural networks in the retina. Holden-Day. ISBN   9780816270453.
  2. von Békésy, Georg (1967-01-01). "Mach Band Type Lateral Inhibition in Different Sense Organs". The Journal of General Physiology. 50 (3): 519–532. doi:10.1085/jgp.50.3.519. ISSN   1540-7748. PMC   2225686 . PMID   11526844.
  3. Frederick A. A. Kingdom (4 November 2014). "Mach bands explained by response normalization". Frontiers in Human Neuroscience. 8: 843. doi: 10.3389/fnhum.2014.00843 . ISSN   1662-5161. PMC   4219435 . PMID   25408643.
  4. Ambalathankandy, Prasoon; Ou, Yafei; Kochiyil, Jyotsna; Takamaeda, Shinya; Motomura, Masato; Asai, Tetsuya; Ikebe, Masayuki (December 2019). "Radiography Contrast Enhancement: Smoothed LHE Filter a Practical Solution for Digital X-Rays with Mach Band". 2019 Digital Image Computing: Techniques and Applications (DICTA) (Report). IEEE. pp. 1–8. doi:10.1109/DICTA47822.2019.8946114. ISBN   978-1-7281-3857-2.
  5. Devlin, Hugh (2006). Operative dentistry: a practical guide to recent innovations; with ... 5 tables. Berlin Heidelberg: Springer. p. 11. ISBN   978-3-540-29616-4.
  6. Nielsen, C (November 2001). "Effect of Scenario and Experience on Interpretation of Mach Bands". Journal of Endodontics. 27 (11): 687–691. doi:10.1097/00004770-200111000-00009. PMID   11716082.
  7. Parker, M. S.; Chasen, M. H.; Paul, N. (2009). "Radiologic Signs in Thoracic Imaging: Case-Based Review and Self-Assessment Module". American Journal of Roentgenology. 192 (3_Supplement): S34-48. doi:10.2214/AJR.07.7081. PMID   19234288. S2CID   34785665.

Further reading