Abstract: Silique observation and measurement are essential for rapeseed breeding. In this paper, an automat⁃ ic detection method was proposed to replace the traditional manual method. A device was designed to acquire video of scattered siliques, based on pulling and vibrating stacked siliques. Silique videos were extracted to frames, and then, by using QR code as marker blocks in image, the key frames containing all siliques were effectively extracted and spliced into individual intact. Crossed siliques in frame caused an error in measurement. A cutting method of crossed siliques image based on concave point extraction and matching was proposed. By this method, all kinds of crossed siliques could be identified with accuracy rate of 98.0%. In the measurement of phenotypic parameters, a core diameter Otsu method was proposed to judge the posture of silique, by which elliptic long and short axis of the cross section of the silique was estimated, and then length, surface area and volume of the silique were calculated. Results demonstrated good accuracy and adaptability to different varieties of rape by this method. Estimation error of length, surface area and volume were less than 2.9%, 4.8% and 5.0% respectively. Thus the method could be an effective replacement of artificial way and provide key basic data for rapeseed and agricultural research fields.

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:normal, line-height:1.5, text-decoration:none, "> , rapeseed silique；quantity detection；phenotypic parameter；image processing ,