【摘要】：為了智能化農(nóng)業(yè)的發(fā)展,提高農(nóng)作物病害診斷水平,及時采取防治措施,提出一種基于圖像處理技術(shù)與Android手機的病害智能診斷系統(tǒng)的設(shè)計方法.系統(tǒng)不受時間和地域限制,用戶可以在具備網(wǎng)絡(luò)覆蓋的地方將采集到的病害圖片發(fā)送至服務(wù)器端.服務(wù)器端接收到病害圖片后,在HSI(horizintal situtation indicator)顏色空間對病害圖像分割,利用顏色矩和灰度共生矩陣來提取病害顏色和紋理特征參數(shù),并將優(yōu)選的特征參數(shù)輸入支持向量機識別,識別結(jié)果反饋給客戶端.實驗結(jié)果表明:該系統(tǒng)可以準確高效地識別出病害種類,有較強的實用性和推廣應(yīng)用前景.
[Abstract]:In order to improve the level of crop disease diagnosis and improve the development of intelligent agriculture, this paper puts forward a design method of intelligent disease diagnosis system based on image processing technology and Android mobile phone. The system is not limited by time and region, users can send the collected images to the server in the place with network coverage. After the server receives the disease image, the disease image is segmented in the HSI (horizintal situtation indicator) color space, and the color moment and gray level co-occurrence matrix are used to extract the disease color and texture feature parameters. The selected feature parameters are input into support vector machine (SVM) recognition, and the recognition results are fed back to the client. The experimental results show that the system can identify the diseases accurately and efficiently, and has strong practicability and application prospect.
【作者單位】： 鄭州輕工業(yè)學(xué)院計算機與通信工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61302118) 河南省高校青年骨干教師資助計劃(2010GGJS-114)
【分類號】：TP391.41
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本文編號：2355056