Seed morphological characteristics and weight are important evaluation indicators of seed quality, and they are closely related to seed germination rate and crop yield. In order to detect the quality of melon seeds and improve the efficiency of melon production, a melon seed morphological feature extraction and weight detection system was developed. The light source unit with a ring structure consisted of high power LED lamps, providing stable light for the system; The image acquisition unit collected color images of melon seeds; The weighing unit weighed the weight of melon seeds in real time; The control processing unit processed seed images real-time, triggered the image acquisition unit to collect image and control the collection speed of seeds images, controlled weighing unit to work, and saved seeds image, weight and processing results. The system can extract the number, area, perimeter, long diameter, short diameter and weight of melon seeds. After testing of the system, the detection accuracy of melon seeds number was 100%, detection relative errors of seeds weight, seed perimeter, length and width were less than 5%, and the detection relative error of melon seed area was less than 10%. The results show that the developed melon seed morphological feature extraction and weight detection system can meet the actual needs of melon seed production.
In order to improve the quality of greenhouse vegetable plug seedlings and realize rapid detection of growth information of greenhouse vegetable plug seedlings, a device for detecting the growth information was designed. The detection device contained a weighing unit, an image acquisition unit, a light source unit and a control processing unit, mainly realizing vegetable seedling morphological index of projection area, stem diameter and plant height detection and weight information collection. The light source unit was composed of high-power LEDs. The image acquisition unit was made up of two cameras, the first camera in the vertical downward orientation, was used to obtain projection area parameter of vegetable seedling, the second camera in the horizontal position, was employed to capture of vegetable seedling stem diameter and plant height parameters. The weighing unit adopted a high precision weight sensor to obtain the weight information of the vegetable seedlings. The control processing unit included a single chip microcomputer and a computer. The single chip microcomputer was introduced to control the background board opening and closing, and to control camera work. The computer was mainly used to process images and realize information fusion and the design of humancomputer interaction interface. The software system of the device was developed based on C++ language, including image processing algorithm and control programs. The detection error of the device was less than 5% for morphological indicators and weight information. The results showed that the greenhouse vegetable seedling growth information detection device had high detection accuracy.
Seed size, interior abnormal and damage of the tomato seeds will affect the germination. The purpose of this paper was to study the relationship between the internal morphology, seed size and seed germination of tomato. The preprocessing algorithm of X-ray image of tomato seeds was studied, and the internal structure characteristics of tomato seeds were extracted by image processing algorithm. By developing the image processing software, the cavity area between embryo and endosperm and the whole seed zone were determined. According to the difference of area of embryo and endosperm and Internal structural condition, seeds were divided into six categories, Respectively for three kinds of tomato seed germination test, the relationship between seed vigor and seed size , internal free cavity was explored through germination experiment. Through seedling evaluation test found that X-ray image analysis provide a perfect view of the inside part of the seed and seed morphology research methods. The larger the area of the endosperm and the embryo, the greater the probability of healthy seedlings sprout from the same size seeds. Mechanical damage adversely effects on seed germination, deterioration of tissue prone to produce week seedlings and abnormal seedlings.