Wheat is an important staple crop, providing nearly 20% starch and protein for of the global population. Dissecting the genetic base for plant growth pattern will provide valuable information for yield improvement. We employed a high-throughput phenotyping platform to collect longitudinal trait from tillering stage to milk grain stage and further explored their relation with grain yield and spike related traits. In summary, 12.13 million markers were selected for genome wide association study with 264 image based traits and 17 agronomic traits. 10,249 marker trait association were detected, which clustered into 1,650 quantitative trait loci. Image traits were significantly correlated with plant height, straw weight and other agronomic traits. 40 QTLs controlling both image traits and agronomic traits were detected. By measuring agronomic traits and image traits in one study provided valuable resource for unravel the linkage between them, especially when high density markers were included. More than the QTLs, this study provides new insights to the genetic architecture of wheat growth and yield.