Prediction of texture in different beef cuts applying image analysis technique

Abstract

Purpose Measuring texture parameters are time consuming and expensive; it is necessary to develop an efficient and rapid method to evaluate them. Image analysis can be a useful tool. The purpose of this paper is to predict texture parameters in different beef cuts applying image analysis techniques. Design/methodology/approach Samples were analyzed by scanning electron microscopy. Texture parameters were analyzed by instrumental, image analysis techniques and by Warner–Bratzler shear force. Findings Significant differences (p<0.05) were obtained for image and instrumental texture features. Higher amount of porous were observed in freeze dried samples of beef cuts from Gluteus Medius and semintendinosus muscles. A linear trend with a linear correlation was applied for instrumental and image texture. High correlations were found between image and instrumental texture features. Instrumental parameters showed a positive correlation with image texture feature. Originality/value This research suggests that the addition of image texture features improves the accuracy to predict texture parameter. The prediction of quality parameters can be performed easily with a computer by recognizing attributes within an image.

Different methods for textural evaluation of freeze‐dried candies during storage

“…The images were taken with the detector within the lens using an acceleration voltage of 3.00 kV. For each sample ( t = 0, t = 3 and t = 6), 10 images at a magnification of 250X were obtained and stored as bitmaps on a gray scale with brightness values between 0 and 255 for each pixel constituting the image (Pieniazek, Roa Andino, & Messina, 2018; Roa Andino et al, 2018).…”

“…Textural parameters were calculated from SEM images using the GLCM and MATLAB 8.4 software (The Math Works Inc., Massachusetts, USA) as described by Pieniazek et al (2018). The size of each sample (region of interest: 122 × 122 pixels) was the same for all the evaluated images.…”