Identification and Statistical Study of Key Characteristics of Effective Mushroom Quantity of Sea Mushrooms

Before the ripening period of seafood mushrooms, it is usually necessary to judge the growth status of seafood mushrooms from the effective amount of seafood mushrooms, and then adjust environmental parameters such as light to control the growth of seafood mushrooms. In order to control in time before the maturity stage, this paper selects the improved HOG feature extraction technology, and combines the image pyramid and sliding window method to complete the multi-scale detection of different mushroom cap sizes. At the same time, the sliding window area is identified by SVM model, and then the secondary detection method and non-maximum suppression method based on the mean feature of L components are used to remove the redundant detection frame and non-mushroom cap area in the detection results, and finally the accurate identification of the mushroom cap target in the image is realized.