Fish species classification by color, texture and multi-class support vector machine using computer vision

Identification of Impurities in Fresh Shrimp Using Improved Majority Scheme-Based Classifier

“…The classifier combination technology is widely adopted in agricultural fields, such as pecan quality inspection (Mathanker et al 2011), automatic shrimp shape grading (Zhang et al 2014), and fish classification duty (Dios et al 2003;Hu et al 2012). Combination idea does not rely on a single decision-making scheme.…”

“…Generally, to enhance the processing speed and yield of products, most image identification algorithms are simply designed for online classification systems (Hu et al 2012;Ruff et al 1995;White et al 2006) and many classification duty often resort to individual classifiers (Dios et al 2003;Mathiassen 2006). However, simply designed individual classifiers present poor accuracy.…”

Detection of adulteration in acetonitrile using near infrared spectroscopy coupled with pattern recognition techniques

“…For solving the classification problem of samples belonging to two groups, SVM constructs a hyperplane to separate them [16]. Intuitively, a good separation is achieved by the hyperplane that has the largest distance to the nearest training data point of any class and this hyperplane was called the optimal hyperplane ( Fig.…”

Colour Feature Extraction Techniques of Fruits: A Survey

“…This technique was also used in the colour feature extraction in automated oil palm fruit grading system [19], oil palm bunch grading system using red-green-blue digital numbers [20], online fruit grading according to external quality using machine vision [18] to finds defects, grading of apples based on features extracted from defects [33], fish species classification [34], the fruit recognition system [35].The colors average were also taken in the in the automatic quality grading of fruits [36].…”