What does LZM mean in UNCLASSIFIED
LZM are a set of image descriptors that capture the local shape and texture characteristics of an image. They are based on Zernike polynomials, which are a family of orthogonal functions that form a complete basis for representing images.
LZM meaning in Unclassified in Miscellaneous
LZM mostly used in an acronym Unclassified in Category Miscellaneous that means Local Zernike Moments
Shorthand: LZM,
Full Form: Local Zernike Moments
For more information of "Local Zernike Moments", see the section below.
Essential Questions and Answers on Local Zernike Moments in "MISCELLANEOUS»UNFILED"
What are Local Zernike Moments (LZM)?
How are LZM calculated?
LZM are calculated by dividing an image into small overlapping regions and computing the Zernike moments for each region. The resulting LZM vector contains the coefficients of the Zernike polynomials that best fit the shape and texture of each region.
What are the advantages of using LZM?
LZM have several advantages over other image descriptors, including:
- They are invariant to translation, rotation, and scale changes.
- They are robust to noise and image distortions.
- They can capture both global and local image features.
What are some applications of LZM?
LZM have been successfully applied to a wide range of image processing and computer vision tasks, including:
- Image classification
- Object detection
- Image segmentation
- Medical imaging
- Remote sensing
How do LZM compare to other image descriptors?
LZM are similar to other image descriptors, such as Gabor filters and Scale-Invariant Feature Transform (SIFT). However, LZM offer several advantages, including:
- They are more compact than Gabor filters.
- They are more robust to noise and image distortions than SIFT.
- They can capture both global and local image features.