International business machines corporation (20240135678). PATTERN RECOGNITION FOR IDENTIFYING INDISTINCT ENTITIES simplified abstract

PATTERN RECOGNITION FOR IDENTIFYING INDISTINCT ENTITIES

Organization Name

international business machines corporation

Inventor(s)

Rajesh Kumar Saxena of Thane East (IN)

Harish Bharti of Pune (IN)

Pinaki Bhattacharya of Pune (IN)

Sandeep Sukhija of Rajasthan (IN)

Dinesh Wadekar of Pune (IN)

PATTERN RECOGNITION FOR IDENTIFYING INDISTINCT ENTITIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135678 titled 'PATTERN RECOGNITION FOR IDENTIFYING INDISTINCT ENTITIES

Simplified Explanation

The patent application describes a method for identifying an indistinct entity within an image using image filters, gradients, and machine learning models.

• Generating multiple gradients using an image filter for pixels in an image.
• Searching for a likely repeating pattern in the image.
• Creating data structures with probabilistically weighted feature vectors for the repeating pattern.
• Classifying the feature vectors using a machine learning model.
• Outputting the identity of the likely repeating pattern based on the classifications.

Potential Applications

This technology could be applied in image recognition systems, security systems, and quality control processes.

Problems Solved

This technology helps in identifying and categorizing indistinct entities within images, which can be challenging for traditional image processing methods.

Benefits

The method provides a more accurate and efficient way to identify repeating patterns in images, leading to improved recognition and classification results.

Potential Commercial Applications

• "Enhancing Image Recognition Systems with Pattern Identification Technology"

Possible Prior Art

There may be prior art related to image recognition algorithms and pattern identification methods in the field of computer vision.

Unanswered Questions

How does this method perform on images with complex backgrounds or multiple overlapping patterns?

The patent application does not specify how the method handles images with complex backgrounds or overlapping patterns.

What is the computational cost of implementing this method on a large dataset of images?

The patent application does not provide information on the computational resources required to implement this method on a large dataset of images.

Original Abstract Submitted

identifying an indistinct entity within an image can include generating by an image filter multiple gradients, each of which corresponds to one of a plurality of pixels of an image captured by an imager. the image can be searched for a likely repeating pattern. responsive to detecting, based on the multiple gradients, a likely repeating pattern within the image, data structures can be generated, the data structures comprising a set of probabilistically weighted feature vectors corresponding to the likely repeating pattern. a machine learning model can classify each of the set of probabilistically weighted feature vectors. an identity of the likely repeating pattern can be output, the identity based on the machine learning model classifications of the probabilistically weighted feature vectors.