The measurement and analysis of patterns in images are crucial tasks in various fields including computer vision, imageprocessing, medical imaging, and machine learning. The ability to identify and measure the patterns of objects withinimagesprovides significant insight into the structure, content, and characteristics of the images. This paper explores different methodsfordetecting and measuring patterns of objects in images, with a focus on the most prominent approaches, including edgedetection,texture analysis, feature extraction, and machine learning-based methods. We also discuss the challenges faced whenmeasuringpatterns in images and propose future directions for research. Keywords: Pattern recognition, image processing, edge detection, texture analysis, feature extraction, machine learning, computervision.