A New Image Segmentation Algorithm and It’s Application in lettuce object segmentation

Abstract

AbstrakSegmentasi citra selada yang berdasarkan pengolahan citra komputer adalah premis dari pengujian kualitas selada non-destruktif. Algoritma entropi maksimum 2-D tradisional memiliki beberapa kesalahan, seperti akurasi segmentasi rendah, kecepatan lambat dan miskin kemampuan anti derau. Akibatnya, itu mengarah ke masalah segmentasi citra yang buruk dan efisiensi yang rendah. Suatu perbaikan algoritma entropi maksimum 2-D disajikan dalam makalah ini. Ini membagi daerah tersegmentasi dan lebih lanjut mengklasifikasikan pixel gambar tersegmentasi dengan metode entropi fuzzy minimum, dan mengurangi dampak titik derau, akibatnya akurasi segmentasi citra meningkat. Algoritma yang diperbaiki digunakan untuk segmentasi selada objek, dan hasil eksperimen menunjukkan bahwa peningkatan algoritma segmentasi memiliki banyak keunggulan dibandingkan dengan algoritma entropi maksimum 2-D tradisional, seperti berkurangnya interferensi palsu, kemampuan anti-derau yangkuat, ketahanan yang baik dan validitas . Kata kunci: entropi fuzzy maksimum yang rendah, entropi maksimum 2-D, kualitas selada, segmentasi gambar AbstractLettuce image segmentation which based on computer image processing is the premise of nondestructive testing of lettuce quality. The traditional 2-D maximum entropy algorithm has some faults, such as low accuracy of segmentation, slow speed, and poor anti-noise ability. As a result, it leads to the problems of poor image segmentation and low efficiency. An improved 2-D maximum entropy algorithm is presented in this paper. It redistricts segmented regions and furtherly classifies the segmented image pixels with the method of the minimum fuzzy entropy, and reduces the impact of noise points, as a result the image segmentation accuracy is improved. The improved algorithm is used to lettuce object segmentation, and the experimental results show that the improved segmentation algorithm has many advantages compared with the traditional 2-D maximum entropy algorithm, such as less false interference, strong anti-noise ability, good robustness and validity.

Image Encryption on Mobile Phone using Super Encryption Algorithm

“…Some research has been done to obtain a reliable algorithm to secure digital image by several researchers [1][2][3][4][5][6][7][8][9], but the digital image encoding which implemented on cell phones are still very few. Research on digital image and its application also has been widely applied, for example by [10][11][12].…”