1. Patterns in Image Classification
In image pattern classification, patterns are grouped into two primary types:
- Quantitative Patterns (represented as pattern vectors)
- Structural Patterns (represented using symbolic structures like strings or trees)
These patterns are used to classify and recognize different objects in digital images.
2. Pattern Vectors
A pattern vector is a mathematical representation of an object using numerical descriptors (features). It is generally denoted by:





3. Structural Patterns
Structural patterns use symbolic relationships and are suitable when shape or arrangement is important.

