计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
2期
177-180
,共4页
Gabor滤波器%微粒群算法%视网膜血管提取%灰度-梯度共生矩阵
Gabor濾波器%微粒群算法%視網膜血管提取%灰度-梯度共生矩陣
Gabor려파기%미립군산법%시망막혈관제취%회도-제도공생구진
Gabor filters%particle swarm optimization%retinal vessel segmentation%gray level-gradient co-occurrence matrix
针对视网膜血管网络灰度分布特征与结构特征，提出了将灰度-梯度共生矩阵最大熵与微粒群算法相结合的视网膜血管提取方法。采用Gabor滤波以增强血管图像，获取增强后视网膜图像的灰度-梯度共生矩阵，利用微粒群算法并结合灰度-梯度共生矩阵的最大熵方法进行阈值化处理，对图像进行二值化处理后根据视网膜血管具有区域连通性的特征，采用形态学方法分割出最终的血管。实验结果表明，该方法能有效地提取视网膜血管网络。
針對視網膜血管網絡灰度分佈特徵與結構特徵，提齣瞭將灰度-梯度共生矩陣最大熵與微粒群算法相結閤的視網膜血管提取方法。採用Gabor濾波以增彊血管圖像，穫取增彊後視網膜圖像的灰度-梯度共生矩陣，利用微粒群算法併結閤灰度-梯度共生矩陣的最大熵方法進行閾值化處理，對圖像進行二值化處理後根據視網膜血管具有區域連通性的特徵，採用形態學方法分割齣最終的血管。實驗結果錶明，該方法能有效地提取視網膜血管網絡。
침대시망막혈관망락회도분포특정여결구특정，제출료장회도-제도공생구진최대적여미립군산법상결합적시망막혈관제취방법。채용Gabor려파이증강혈관도상，획취증강후시망막도상적회도-제도공생구진，이용미립군산법병결합회도-제도공생구진적최대적방법진행역치화처리，대도상진행이치화처리후근거시망막혈관구유구역련통성적특정，채용형태학방법분할출최종적혈관。실험결과표명，해방법능유효지제취시망막혈관망락。
In terms of the special gray distribution and region structure in retinal image, a novel blood vessel segmentation method based on Particle Swarm Optimization(PSO)and gray level-gradient co-occurrence matrix is proposed in this paper. The Gabor wavelet is taken to enhance vessels, then the maximum entropy of the gray level-gradient co-occurrence matrix optimizes and the best threshold value is received by PSO, after the retinal image’s binarization, the mathematical mor-phology is applied to extract the vessels region by analysis of region connectivity. The experiments implemented on the Hoover database indicate that the efficiency of the proposed approach, and this blood vessel segmentation method is bet-ter than the Hoover algorithm.
