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基于改進(jìn)Freeman鏈碼的柑橘簇生區(qū)域數(shù)量判別方法
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“十二五”國(guó)家科技支撐計(jì)劃資助項(xiàng)目(2012AA101903);國(guó)家自然科學(xué)基金資助項(xiàng)目(30600371);教育部科學(xué)技術(shù)研究重點(diǎn)項(xiàng)目(109090)


Quantity Qualification of Overlapped Region for Citrus Image Based on Modified Freeman Chain Code Algorithm
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    摘要:

    水果簇生區(qū)域的數(shù)量判別是圖像處理技術(shù)的難點(diǎn)。提出了一種改進(jìn)的Freeman鏈碼,即在Freeman 8鄰域鏈碼的基礎(chǔ)上插入了3個(gè)新的鏈碼元素“S”、“8”和“9”。識(shí)別過程中,首先獲得水果簇生區(qū)域二值圖像的改進(jìn)Freeman 8鄰域鏈碼,然后計(jì)數(shù)鏈碼中“8”出現(xiàn)的次數(shù),再根據(jù)研究對(duì)象的輪廓特性,計(jì)算出簇生區(qū)域的數(shù)量。利用該方法對(duì)柑橘樹數(shù)字圖像中簇生區(qū)域的柑橘數(shù)量進(jìn)行了判別,實(shí)驗(yàn)結(jié)果表明,該方法對(duì)2~5簇生判別效果良好,效率高,其中2、3簇生識(shí)別正確率為100%。

    Abstract:

    A modified Freeman chain code algorithm to determine the number of overlapped regions in citrus binary images was proposed. Three components, including S, 8, and 9, were inserted in the original Freeman code. During the identification process, the improved chain code was first obtained. Then the appeared times of code “8” was computed. The number of fruits in the overlapped regions can be obtained according to the outline of the fruits. The improved chain code algorithm was applied to evaluate the citrus images. The experimental results showed that the proposed algorithm was effective in identifying the overlapped fruits when the number of overlapped regions was between 2 and 3 where it achieved accuracy of 100%.

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龔愛平,陳吉,裘正軍,何勇.基于改進(jìn)Freeman鏈碼的柑橘簇生區(qū)域數(shù)量判別方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2012,43(11):203-208. Gong Aiping, Chen Ji, Qiu Zhengjun, He Yong. Quantity Qualification of Overlapped Region for Citrus Image Based on Modified Freeman Chain Code Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(11):203-208.

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  • 在線發(fā)布日期: 2012-11-16
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