# Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation

arXiv: https://arxiv.org/abs/1506.01472 · HTML: https://mlsanity.com/paper/1506.01472/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Jun 2015.

## Built on by (most cited first, 1 of 1)

- [Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume Behavior](https://mlsanity.com/paper/2408.08984/) (2024)

## Abstract (arXiv)

Color image segmentation is a very emerging topic for image processing research. Since it has the ability to present the result in a way that is much more close to the human yes perceive, so todays more research is going on this area. Choosing a proper color space is a very important issue for color image segmentation process. Generally LAB and HSV are the two frequently chosen color spaces. In this paper a comparative analysis is performed between these two color spaces with respect to color image segmentation. For measuring their performance, we consider the parameters: mse and psnr . It is found that HSV color space is performing better than LAB.