Detecting whether an image is a texture or a pattern-based image can be challenging, as both types of images can exhibit similar visual characteristics. However, here are some general techniques that may help:

1. Frequency analysis: Textures often have a high frequency of variation in color or intensity, while patterns have a more regular and repetitive structure. You can perform a frequency analysis of the image using Fourier transforms or other techniques to identify whether the image has a regular pattern or a more irregular texture.

2. Texture analysis: Texture analysis algorithms, such as the Gray Level Co-occurrence Matrix (GLCM) or Local Binary Patterns (LBP), can be used to extract texture features from an image. These features can then be used to classify the image as either a texture or a pattern.

3. Edge detection: Patterns often have well-defined edges, while textures may have more gradual transitions between regions. Edge detection techniques, such as the Canny edge detector or the Sobel operator, can be used to identify whether an image has well-defined edges or more gradual transitions.

4. Visual inspection: In some cases, the best way to determine whether an image is a texture or a pattern-based image is simply to visually inspect it. Patterns may be more regular and geometric, while textures may be more random and irregular.

It's worth noting that these techniques are not foolproof and may not work in all cases. Additionally, some images may exhibit characteristics of both textures and patterns, making them difficult to classify definitively.