Image processing (ImPr) performs an essential function in features imaging by ESM. owing to the faulty tool and ecological the image faultsmay be clearly located in the feature’s images. to trade with cited shortages, ImPr technology is the common powerful and useful technique, thus ImPr purposes have been combined in greatest sets of ESM software. In this research, we show ImPr techniques for tribble obvious errors of features images: setting, waste, and border. Related to the properties of the feature’s images and the shortages, several algorithms have been used in the suggested techniques, like B-spline, TV, Criminals, Flourier transform, and others. The concepts, methods and employment fields of the techniques have been explained largely, and the features images with common faults had been chosen to prove them. The handling results confirmed the utility of the techniques, which allow an adequate way to obtain top-quality features images in a high-speed, easy and low-cost technique.

Keywords: ESM; Features image; Image processing; setting; waste; border.