计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
8期
143-147
,共5页
董本志%康欣%任洪娥
董本誌%康訢%任洪娥
동본지%강흔%임홍아
图像轮廓%锯齿%叶裂%面积%特征提取
圖像輪廓%鋸齒%葉裂%麵積%特徵提取
도상륜곽%거치%협렬%면적%특정제취
image contours%leaf teeth%leaf lobes%area%feature extraction
根据植物叶片形态特征中锯齿和叶裂的重要性,设计了基于链码的研究方法。通过对叶片图像预处理得到叶片的轮廓曲线、结合基于链码的拐点检测方法和基于链码差的边界凹凸性判别方法确定锯齿点和叶裂点、改进基于链码的目标面积计算方法计算锯齿和叶裂的面积。从锯齿和叶裂的面积和周长占整个叶片的面积和周长的比例以及叶片包含的锯齿和叶裂数三个方面对叶片进行描述。实验对3种共70张叶片提取特征,归纳特征阈值范围。实验结果表明新方法可以大大提高计算面积的精确度,并且这三个特征可以体现出不同种的植物叶片,可以作为新的特征值,为识别植物物种和分类提供帮助。
根據植物葉片形態特徵中鋸齒和葉裂的重要性,設計瞭基于鏈碼的研究方法。通過對葉片圖像預處理得到葉片的輪廓麯線、結閤基于鏈碼的枴點檢測方法和基于鏈碼差的邊界凹凸性判彆方法確定鋸齒點和葉裂點、改進基于鏈碼的目標麵積計算方法計算鋸齒和葉裂的麵積。從鋸齒和葉裂的麵積和週長佔整箇葉片的麵積和週長的比例以及葉片包含的鋸齒和葉裂數三箇方麵對葉片進行描述。實驗對3種共70張葉片提取特徵,歸納特徵閾值範圍。實驗結果錶明新方法可以大大提高計算麵積的精確度,併且這三箇特徵可以體現齣不同種的植物葉片,可以作為新的特徵值,為識彆植物物種和分類提供幫助。
근거식물협편형태특정중거치화협렬적중요성,설계료기우련마적연구방법。통과대협편도상예처리득도협편적륜곽곡선、결합기우련마적괴점검측방법화기우련마차적변계요철성판별방법학정거치점화협렬점、개진기우련마적목표면적계산방법계산거치화협렬적면적。종거치화협렬적면적화주장점정개협편적면적화주장적비례이급협편포함적거치화협렬수삼개방면대협편진행묘술。실험대3충공70장협편제취특정,귀납특정역치범위。실험결과표명신방법가이대대제고계산면적적정학도,병차저삼개특정가이체현출불동충적식물협편,가이작위신적특정치,위식별식물물충화분류제공방조。
A research method based on Freeman code has been designed according to the importance of leaf teeth and leaf lobes in leaf morphology. Image pre-processing techniques are used to get the contours of the plant leaves. The corner detec-tion algorithm based on chain code and the method of identifying the convexo-concave of peripherals based on chain code difference are combined to determine the feature points. An improved calculation method of target area is developed to calculate the areas of leaf teeth and leaf lobes. A leaf can be described by the following three aspects, the numbers of leaf teeth and leaf lobes, the proportions of their perimeters and areas to the entire perimeter and area. The experiments extract these three characteristics from 70 samples belonging to 3 species of plants. The characteristics are summarized by thresh-old range. Experimental results show that the accuracy of calculation areas has been greatly increased through the new method. These three features can reflect the different species of plant leaves and can be used as a new feature value to help identify and classify plant species.