Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
Dubey, Shiv Ram
Gupta, Jay Prakash
Tipo de Ítem:article
Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This work presents a novel defect segmentation of fruits based on color features with K-means clustering unsupervised algorithm. We used color images of fruits for defect segmentation. Defect segmentation is carried out into two stages. At first, the pixels are clustered based on their color and spatial features, where the clustering process is accomplished. Then the clustered blocks are merged to a specific number of regions. Using this two step procedure, it is possible to increase the computational efficiency avoiding feature extraction for every pixel in the image of fruits. Although the color is not commonly used for defect segmentation, it produces a high discriminative power for different regions of image. This approach thus provides a feasible robust solution for defect segmentation of fruits. We have taken apple as a case study and evaluated the proposed approach using defected apples. The experimental results clarify the effectiveness of proposed approach to improve the defect segmentation quality in aspects of precision and computational time. The simulation results reveal that the proposed approach is promising.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Mostrando ítems relacionados por Título, autor o materia.
Kumar Singh, Deepak; Srinivas, K.; Bhagwan Das, D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)The prime objective of a Channel Assignment Problem (CAP) is to assign appropriate number of required channels to each cell in a way to achieve both efficient frequency spectrum utilization and minimization of interference ...
Bhaskar, Vinay S; Kumar Singh, Abhishek; Dhruw, Jyoti; Parashar, Anubha; Sharma, Mradula (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the ...
Dixit, Pushkar; Singh, Nishant; Prakash Gupta, Jay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)Internet security finds it difficult to keep the information secure and to maintain the integrity of the data. Sending messages over the internet secretly is one of the major tasks as it is widely used for passing the ...