Algorithm for extracting contours of agricultural crops images

Abstract

Abstract. Currently, identification of crop diseases and their prevention is one of the main problems in the field of agriculture. Conventional visual inspection is a time and money consuming process for farms. Therefore, images taken by unmanned aerial devices or satellites are used to assess the condition of crops, control them and identify diseases. In particular, when identifying crop diseases, it is necessary to first solve the problem of automatic recognition of their type through the image of crops. Usually contour separation algorithms are widely used in the segmentation of objects in the image. This work is aimed at solving the problem of separating the contour of the object, in which algorithms are formed based on Canny, Sobel and Robinson filters, which are considered to be popular and classical methods of contour separation, and their various combinations. In the computational experiments, a set of contour images, whose contours were separated by an expert, was used. Evaluation was performed by comparing the image obtained by applying the combination of filters to the original image and the corresponding contour image pixels separated by an expert. The proposed approach has been tested on a set of plant leaf images and shown to be effective.

Yuz tasvirlarini segmentlashning an’anaviy va mashinali oʻqitish usullari

“…• tasvirlardagi shovqin: tasvirlarda siqish artefaktlari, qo'shimcha shovqin va boshqa shu kabi turli xil halaqit turlari bo'lishi mumkin, bu esa yuzni segmentatsiyalashda xatolarga olib kelishi mumkin; • fon murakkabligi: tasvirlar foni turlicha bo'lishi mumkin va ular yuzga o'xshash obyektlar yoki teksturalarni o'z ichiga olishi mumkin, bu esa ularni aniq ajratib olishni murakkablashtiradi; • turli sharoitlar: tasvirlar turli sharoitlarda, masalan, past yorug'lik, xiralik, harakatlanuvchi obyektlar va boshqa sharoitlarda olinishi mumkin, bu esa yuzni aniq segmentatsiyalashga to'sqinlik qiladi. Yuz tasvirlarini segmentlashning yuqorida sanab o'tilgan muammolarini to'liq bartaraf etish murakkab va tasvirlarga dastlabki ishlov berish algoritmlari [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] natijasiga bog'liq hisoblanadi. Biroq, segmentlash usullarini qo'llash orqali ushbu muammolarni qisman hal etish mumkin.…”