研究目的
To survey various image segmentation techniques used in image processing applications.
研究成果
The paper concludes that using multiple methods for segmenting the input image can provide more precise outputs. Watershed segmentation is highlighted for its ability to separate merged images and divide an image into many barriers for accurate analysis.
研究不足
Each segmentation technique has its own prospects and limitations, and the effectiveness varies depending on the image characteristics such as color, intensity, texture, and pattern.