Abstract: Today people are more concerned about their daily calorie intake, as it creates several positive or negative impacts on the health based on its proportion. An unbalanced diet may cause many problems like weight gain, obesity, diabetes, high cholesterol, and heart attack. Even though the people can record their meal and discuss it with doctors or experts, it is not so convenient and they cannot know the number of calories before the meal.
This system presents an effective way to measure and manage the daily food intake of the user. From the input food images, the users can understand the amount of calories they will take in each meal by using the Support Vector Machine (SVM) algorithm. The system uses several features like FCTH and CEDD that deals with the extraction of a new low-level feature that combines, in one histogram, Color and texture information. This features FCTH - Fuzzy Color and Texture Histogram and CEDD - Color and Edge Directivity Descriptor helps for appropriate retrieving images even in distortion cases to classify the food images. Based on the calorie count system recommend the user to keep body profile like fitness, reduce weigh or increase weight.

Keywords: Food Classification, Calorie Calculation, Calorie Consumption, Daily Intake, Support Vector Machine (SVM), Image Processing, Fuzzy Color and Texture Histogram (FCTH), Color and Edge Directivity Descriptor (CEDD)

| DOI: 10.17148/IARJSET.2022.9454