Method for detecting boll opening of cotton based on image detection

Abstract

The invention discloses a method for detecting boll opening of cotton based on image detection. The method specifically comprises two stages, namely a training stage for counting the change rule of a cotton region in a cotton field image in a Lab color space through history image data, and a detection stage for detecting a real-time cotton field video image by using the change rule of cotton counted in the training stage in the Lab color space. The method comprises the following specific steps of: (1) detecting a single cotton image, detecting a candidate cotton region in the image according to a counting result and generating a binary result image; (2) marking and de-noising a communication domain, marking the binary result image and removing small noise interference by setting an area threshold value of the communication domain; (3) making a comprehensive judgment, voting each candidate region by using detection results at different moments of each day, selecting a stably existing region serving as the final cotton region detection result and further removing the interference of random noise; and (4) outputting a result image. By adopting the method, the influence of illumination is effectively overcome by using the Lab color characteristic of cotton and the continuity of images on the same day, and the presence of cotton in a cotton field image is detected correctly.

Description

technical field [0001] The invention belongs to the field of combination of digital image processing and agricultural meteorological observation, and in particular relates to a method for detecting whether cotton fluffs appear from cotton plants by taking cotton field images as objects. Background technique [0002] Cotton is one of the main economic crops in my country, and the planting area is very extensive. Cotton development period, yield and quality are vulnerable to climate change. For a long time, the observation of cotton development period has been mainly through manual observation, which is greatly affected by the subjective factors of observers. At the same time, due to the long observation period and wide area, it is not economical to use manpower to observe. Therefore, it is very necessary to observe the developmental stages of cotton fields by taking video images of cotton fields and using image processing methods. Cotton boll opening is an important part of...

AI Technical Summary

Problems solved by technology

The above methods are all applied to the automatic cotton picking robot, the camera has a short working distance, the image range is small, and the cotton wool area in the image is relatively obvious

For the field of agricultural meteorological observation, it is mainly to detect whether the cotton is opened and the number of cottons in the cotton field. Severe, the above methods are not feasible

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